Some friendly and imperfect introductions to Structural Coupling

Structural-Coupling-Glossary | Metadesigners Network 2019

Structural Coupling – an overview | ScienceDirect Topics

Structural Coupling – Social Systems Theory

Varela F. J. (1988) Structural coupling and the origin of meaning in a simple cellular automation

Preview and abstract: https://link.springer.com/chapter/10.1007/978-3-642-73145-7_13

In this paper I wish to address what I consider one of the central conceptual issues underlying the Immunosemiotics meeting: the origin in meaning in cellular communication. Semioticists have done immunology a great service by framing the role of molecular interactions as a system of signs and their significations. This is hardly what immunologists normally do, involved as they are with the nitty-gritty of molecular mechanisms, far too close to visualize the entire forest.

Took a while to track down an open source of this – formatting not nice but here it is!

Source: Varela F. J. (1988) Structural coupling and the origin of meaning in a simple cellular automation

 

STRUCTURAL COUPLING AND THE ORIGIN OF MEANING IN A SIMPLE CELLULAR AUTOMATION
Cite as: Varela F. J. (1988) Structural coupling and the origin of meaning in a simple cellular automation. In: Secarz E., Celada F., Mitchinson N. A. & Tada T. (eds.) The semiotics of cellular communication in the immune system. NATO ASI Series, Volume 23. Springer-Verlag, New York: 151–161. Available at https://cepa.info/1935
1. Introduction: Classification vs. generation
In this paper I wish to address what I consider one of the central conceptual issues underlying the Immunosemiotics meeting: the origin in meaning in cellular communication. Semioticists have done immunology a great service by framing the role of molecular interactions as a system of signs and their significations. This is hardly what immunologists normally do, involved as they are with the nitty-gritty of molecular mechanisms, far too close to visualize the entire forest.
In my view, however, current semiotics is not a satisfactory framework to advance understanding of cellular communication because so far it has only signs and their systems.[Note 1]Note 1. NOTETEXT-1 There is nothing by the way of a mechanism as to how a sign one: there is no explicit mechanism for the origin of meaning. It is somewhat like reading a taxonomy text before natural selection was proposed as a mechanism for the origin of diversity. This contrast – taxonomic (or structuralist) vs. generative – was, in my opinion, at the center of many discussions during the meeting.
Accordingly, my intention in this paper is to address this issue directly through the use of a simple I hope that this will do more to illustrate what I have in mind that a dry theoretical presentation. Some conceptual background is nevertheless necessary, and that is the topic of the next section.
2. Operational closure and structural coupling
Meaning can only arise for those systems which assert their own identity vis-a-vis their environment, that is, for systems with a degree of This class of autonomous systems stands out in contradistinction to those systems which are defined through relations. For these latter class of systems, the way in which they relate to their environment is not an issue: they are specified through input/output conditions which completely clarify how their environmental coupling occurs. The familiar digital computer is the clearest example of this class of systems: the meaning of a given keyboard sequence is always assigned by the designer.
In contrast, cells and organisms are far from being in the same category. Under very restricted circumstances we can speak as if we could specify the operation of a cell or an organism through input/output relationships. In general, however, a living system its own world of relevance, and is not given in advance. The meaning of this or that interaction is not given by an outside designer, but is the result of the organization of the system itself and its history. This point is intuitively quite evident to any working biologist, but more often than not, eschewed because of its seeming difficulty.
The question is, then, how to account for the emergence of meaning from a milieu of interactions for a system which cannot be specified through a list of input/outputs. The answer I have been developing for some years is basically this: follow the consequences of characterizing the system, not as input/output, but as having that is, as defined through a network of processes of some kind. Once a system is adequately defined in this fashion, its self-organizing qualities will become apparent. In particular, a with an environment will lay down what is and what is not relevant for the system: the history of coupling will inevitable bring forth a world of signification.[Note 2]Note 2. NOTETEXT-2
My experience in trying to convey these ideas is that although many people accept with some ease the notion of operational closure (self-organization in a network -like system), the complementary notion of the origin of meaning through structural coupling remains veiled in a cloud of mystery. The reason for this is not intrinsic complexity, but simple lack of occasion to be exposed to such an analysis. This is why I wish to provide an example that is so transparent that it can serve as a paradigm or exemplar.
3. The system
The example I wish to present is based on very simple cellular-like automata which receive inputs from two immediate neighbors, and communicates its internal state back to them. Each cellular automaton can only be in two alternative states (i.e. 0 and 1, active or inactive). Assume that the rule governing the change in each automata is simply a boolean function of the two arguments it receives from its neighbours at each discrete moment of time. Typical boolean function are, for instance, the well-known logical operation And or ‘Exclusive or’. We can associate such a boolean function to each one the two states in which the cellular automaton is in; this says that the way the cellular automaton will respond to its surrounding neighbours will change depending on its own state. Thus, the functioning of each automaton is completely specified by a of boolean functions. In our figures this is expressed as an 8-digit binary number if we express each boolean function in terms of their 4-digit transition tables, which indicates the output of the automaton as a function the four possible combination of its two inputs.
The closure of the system is now introduced simply by connecting it as a circular array, so that there no inputs and outputs from the entire system ring, but only internal actions. For the purpose of display, however, it is easier to cut this ring open and to present it linearly, with the cells in the 1 state indicated by a black square, and the opposite state indicated by a blank space. Accordingly, in the display shown here, cellular position runs from left to right (modulo the ring’s length) (Fig. 1).
Change image:
Figure 1: Schematics for the definition of the cellular automata studied here (see text).
This ring of cellular automata acquires a temporal dynamics by starting it at some random state and letting each cell reach an updated state at each discrete moment of time in a synchronous fashion (i.e. all of them together). In the display we represent the initial instant at the top-most row, and successive instants of time going downwards. Thus the successive state of the same cell can be read as a column, and the simultaneous state of all cells can be read as a row.
In the cases we study here all cells in the ring are defined by the same pair of boolean functions, and it appears inscribed on top of the display. Further, we consider only symmetrical boolean functions (i.e. with identical entries in the diagonal of their transition matrix, so that strictly speaking we need only six digits to define the dynamics of the ring). In all the simulations presented here the ring was composed of 80 cells, and its initial starting state was chosen at random.
4. The dynamics of the closure: Self-organizing qualities
These rings of boolean cellular automata have very interesting and surprising self-organizing capacities. An extensive discussion of these capacities has been conducted recently by S. Wolfram.[Note 3]Note 3. NOTETEXT-3 It is not my intention to recapitulate his work here. Suffice it to say that the closure dynamics of these rings fall into four major classes illustrated in Fig. 2. A first class exhibits a simple dynamics dominated by a single attractor, leading all cells to become homogenously active or inactive. For a second more interesting class of rings, the rules give rise to spatial periodicities, that is, some cells remain active while other do not. For a third class the rules gives rise to spatio-temporal cycles of length two or longer. Finally, for a few rules, the dynamics seem to give rise to chaotic regimes, where one does not detect any regularities in space or time.
We shall not dwell on the interesting diversity of the internally generated dynamics of these boolean rings. Our interest is to move beyond their closure to examine what happens when they enter into a history of coupling.
Change image:
Figure 2: Representative self-organizing dynamics for different choices of defining rules (the 8-digit binary number on top). Initial states in all cases is randomly assigned. The differences in the global behavior Is immediately visible in the pattern of the display. Arrow to the left indicates the arrival of a perturbation following the mode of coupling depicted in Fig. 3.
5. Histories of structural coupling
Of the many forms in which we could endow our rings with a coupling with an environment, I have chosen the following. Imagine that we dump the ring in a milieu of random O’s and l’s, much like a cell is plunged in a chemical milieu. Imagine further that the encounter of a cell with one of these two alternatives (0’s and l’s) leads to the state of the cell being replaced by the perturbation that it encountered (Fig.3). For the sake of brevity, let us call Bittorio this particular ring of cellular automata this form of structural coupling with the chosen milieu.
In Fig. 2 the arrow to the left indicates the moment where one perturbation reaches one particular cell at one particular instant. The dynamics that follows indicates the way Bittorio compensates this perturbation, i.e. the ensuing change (or lack of it). As it is apparent, if Bittorio’s rule belongs to the first or fourth class (i.e. a simple or a chaotic attractor) the consequence of the perturbation is simply invisible: Bittorio either goes back to its previous homogenous state, or it remains in a random-like state.
Change image:
Figure 3: Schematics for the mode of coupling defined for the cellular automata of Fig. 1. A chance encounter with a I or 0 changes the internal state of the perturbed cell for that of the perturbation encountered. For simplicity, perturbations at only one location are displayed here.
It follows that only the second and third class of rules can provide us with a dynamics capable of producing Interesting consequences for the kind of structural coupling we have chosen for Bittorio. As also shown in Fig. 2, for these kinds of Bittorios, a single perturbation induces a change from one to another spatio-temporal configuration, both of them stable and distinguishable.
Change image:
Figure 4: An instance of discrimination of odd sequences of perturbation. Automata with the same rule but different initial configurations are displayed. Top row: encountering one perturbation at arrow. Bottom row: encountering two successive perturbations.
The base of Bittorio of rule 1001000, illustrated in Fig. 4, is worth commenting in more detail. As can be seen, the encounter with just one perturbation changes the spatial periodicities from one to another stable configuration. However a second perturbation at the same cell undoes the previous change. Hence, any sequence of perturbations at the same locus will lead to a change in the state configuration for Bittorio, while any even sequence of perturbations will be invisible, since it leaves Bittorio’s global state unchanged. Thus, of all the innumerable sequences of possible perturbations, this Bittorio picks up or singles out from the milieu a very specific subset: finite odd sequences; only they induce a repeatable change in configuration. Stated in other words, given its rule, and given its form of structural coupling, this Bittorio become an ‘odd sequence recognize.’
Another example of this emergent signification is shown in Fig.5 for Bittorio of rule 01101110. A sequence of perturbations is the only trigger capable of leading to a change In the state configuration of Bittorio. This is readily seen in Fig.5 where I have superimposed several encounters at different cellular loci to facilitate comparison. Everything other than double perturbations in one location leave this Bittorio unchanged.
I have explored what happens to these ring automata with simultaneous perturbations and more complex forms of structural coupling. They reveal very many rich and interesting behaviors. I will not enter into the detail of these observations for the purpose of illustration: our simple Bittorio is enough.
Change image:
Figure 5: An instance of discrimination of pairs of perturbations. Here, in contrast to Fig. 4, several sequences of perturbations are induced at different locations on the same automata, since each one only has local effects.
6. Bringing forth meaning
In the two specific cases described above, we have not provided Bittorio with a program to distinguish ‘odd sequences’ or ‘two successive perturbations’. What we have done is to define a form of closure on the one hand (its internal dynamical alternatives), and the way in which this system will couple with a given milieu on the other hand (the contingence of its encounters). The result is that the brings forth or selects from a random world what is relevant for the system itself. The system recognizes out of its own autonomy what is significant and how it is so.
I have used the words significance, relevance, and meaning advisedly. Meaning involves necessarily a form of in an encounter. My claim is that Bittorio performs precisely this form of a minimal interpretation in its encounters, thus pointing to us, as observers, what does and what does not lead to changes in its internal dynamics.
This is similar to the study of cellular or animal behavior. We must see what the animal singles out as relevant in reference to changes in internal dynamics; its world cannot be constituted as a set of predefined inputs independently of its particular history. This is the capacity upon which the creativity of life hinges. In general, then, my claim is that once closure and coupling are described for a system, the emergence of a world of relevance becomes apparent to an observer.
The example presented here is extremely simple, in some sense minimal, so that we can follow the entire process in detail. That was its intention; it should not be read as a model of any specific phenomena of cellular recognition. However It seems that even with the very simple form of operational closure and of coupling given to Bittorio if we can already recognize the emergence of a minimal form of signification, then this will be all the more so for living cells or cellular networks such as the brain and the immune system.
Notice, however, that what I have proposed is a mechanism and not a recipe. To investigate how it is actually embodied in each situation, one needs to pursue the details of that situation. In particular, one must have at least some idea of:
the operational closure of the system and its dynamical landscape, and
the fundamental dimension of the structural coupling with the milieu.
Both these points are central for the network perspective in immunology.[Note 4]Note 4. NOTETEXT-4 In fact, since its inception this perspective has emphasize the self- organizing dynamics that must constantly arise in such a network system, in contrast to the local character of the clonal selection dynamics. Furthermore, the network perspective has always raised the issue of the dependency between internal dynamics and antigenicity, in contrast to the antigen-centered clonal perspective. In a word, the traditional immunological views are closer to input/output descriptions, and it is not surprising that the emergence of molecular significations remains difficult to handle within that framework. In contrast, a network perspective is already a step in the right direction to understand immune phenomena as a system of signs and significations produced by the immune system itself.
Acknowledgements
My thanks to Alfonso Gómez, Patricio Huerta and Marcelo Miranda for participating at various stages in the computer presentation of these ideas. My interest in immunology is due to the patient and friendly influence of Nelson Vaz and Antonio Coutinho. I hope it will continue.
FV is the holder of the Fondation de France Chair of Cognitive Science and Epistemology at Ecole Polytechnique. Thanks also to the Prince Trust Fund for financial support.
Notes
1 I am using as a reference here U. Eco, A Theory of Semiotics, Indiana U. Press, 1978.
2 I’m painfully aware that these key notions – operational closure and structural coupling – remain quite vague here. I only intend to evoke some of their signification and to use them through the example. For a full discussion see: F. Varela, Principles of Biological Autonomy, Elsevier/North Holland, New York, 1979, and for an introductory account see H. Maturana and F. Varela, The Tree of Knowledge: The Biological Roots of Understanding, New Science Library, Boston, 1987.
3 See in particular: S. Wolfram, Statistical mechanics of cellular automata, Revs. Modern Physics 55: 601-644, 1983, and: Cellular automata as models of complexity, Nature 311: 419, 1984.
4 The classical paper by N. Jerne, Towards a network theory of the immune system, Ann. Immunol. (Paris) 125C: 373-395, 1974 emphasized the “eigen-behaviors” (or self-generated) states of the immune systems. The idea is also discussed in N. Vaz and F. Varela, Self and non-sense: An organism- centered approach to immunology, Med. Hypotheses 4: 231-257, 1978 together with the notion of a cognitive domain. See also A. Coutinho, L. Forni, D. Holmberg, F. Ivars, and N. Vaz, From an antigen-centered clonal perspective of immune responses to an organism-centered network perspective of autonomous activity in a self-referential system, Immunol. Revs. 79: 151-168, 1984.

Cognitive Systems – a cybernetic perspective on the new science of the mind Francis Heylighen Lecture Notes 2014-2015 

pdf – http://pespmc1.vub.ac.be/Papers/CognitiveSystems.pdf

Complexity and Evolution: fundamental concepts of a new scientific worldview Francis Heylighen Lecture notes 2017-2018

pdf: http://pespmc1.vub.ac.be/books/Complexity-Evolution.pdf

Old version (2014-15): http://pespmc1.vub.ac.be/books/Complexity-Evolution-old.pdf

Francis Heylighen: home page

 

go to the source for contact details and ongoing updates: Francis Heylighen: home page

Francis Heylighen: home page


I am a research professor at the Free University of Brussels (Vrije Universiteit Brussel), where I direct the transdisciplinary research group on “Evolution, Complexity and Cognition, the Global Brain Institute, and soon the Center “Leo Apostel”. I am also affiliated with the Department of History, Art and Philosophy (HARP). I have for long been an editor of the Principia Cybernetica Project, an international organization for the collaborative development of an evolutionary-systemic philosophy, which is now essentially dormant after the death of its founder, Valentin Turchin .

The main focus of my research is the origin and evolution of complex, and in particular intelligent, organization. How do systems emerge, self-organize, adapt and achieve some form of cognition? I approach these problems starting from an ontology of actions or processes: the building blocks of reality are not material particles or “things”, but interactions. Systems are then merely stabilized, self-producing networks of processes. I have worked in particular on the development of collective intelligence or distributed cognition, and its application to the emerging “global brain“. I have also been looking at how individual agents tackle challenges via action, exploration, and learning, and how their interactions become coordinated via connectionist networks and stigmergy.

I use the underlying action ontology as a foundation for the integration of ideas from different disciplines into an evolutionary-cybernetic “world view” , which is to replace the static and reductionist Newtonian worldview. This broad evolutionary view, together with its practical applications on the Internet, has helped me to develop a broad, but concrete vision on the future of the information society. The main idea is that humanity is undergoing a metasystem transition towards a higher level of organization and distributed intelligence that can be conceived as a “Global Brain”.

I teach an introductory course on “Complexity and Evolution” at the VUB. My freely available lecture notes can be used as a textbook on the domain. I have also been teaching a more advanced course on Cognitive Systems . I will start teaching courses on the philosophy of technology, and on mind, brain and body in 2019 (in Dutch).

As a true interdisciplinarian, I have moreover done research and published papers about a wide variety of subjects in a wide variety of disciplines, from mathematical physics, via computer science and life sciences to linguistics, economics, sociology, psychology, philosophy and the meeting of art and science, including:

Publications

My list of some 200 publications (almost all downloadable) is available on my Google Scholar page, starting with the most cited. This includes a numerical analysis of my citations (nearly 9000) and my H-index (50: getting better and better…). To check the newest work, here is the same Google Scholar page, starting with the most recent. (Microsoft Academic Search produced a more limited coverage of my publications and citations, as do ResearchGate and Academia.)

A little more about myself

For more about my work, check my biographical sketch, or my more detailed”Notes for an intellectual autobiography“. I have produced some artwork and literary writing. Here is a selection of my best photos and my graphic work. To get an idea of my character, check my personality profile according to the “Big Five” psychological dimensions, and my Myers-Briggs personality type. For an idea of my tastes, here is a Youtube playlist of music I like. I am an enthusiastic adept of the paleolithic lifestyle: maximizing health and happiness by living more like our hunter-gatherer ancestors. The effect on my physical abilities is illustrated by my “athletic selfies”.

If you would like to see me in action, here are some videos:

If you’re curious how others see me, you can find references to my work on other web pages, such as an entry on me in Wikipedia, a satirical interview in “Wired”,the list of “Great Thinkers and Visionaries on the Net“, “Francis Heylighen: pioneer of the global brain” by Ben Goertzel, or a rather sensationalist feature article in New Scientist. On the web, you can also find a couple of interviews with me.

 

go to the source for contact details and ongoing updates: Francis Heylighen: home page

Patterns of Strategy – Hoverstadt and Loh

I realise I haven’t posted about this here before – in my quote for the cover, I said this, and I meant it:

Benjamin P Taylor, Chief Executive, Public Service Transformation Academy: ‘Every now and then, a book comes along which seems to encompass the whole of a field, explain it, critique it, and surpass it. Patterns of Strategy does just that for the practice of organisational strategy. Once you have read Patterns, you can never go back. It combines a learned and enjoyable treatise with immensely practical usability and should be on every leader’s desk, as a daily reference.’

(disclosure: I know Lucy and Patrick, am involved in www.systemspractice.org with them, especially Patrick, read and commented on a draft, and am accredited to use the approach and the ‘board game’ workshop).

The approach draws on systems thinking in a range of ways, most critically the concept of structural coupling (another syscoi.com omission which I’ll remedy shortlY).

It’s a book, a board game/workshop, and there are a few explainers in the video and website – UK Amazon Smile link for the book: https://smile.amazon.co.uk/Patterns-Strategy-Patrick-Hoverstadt/dp/1138242675/ref=sr_1_1?keywords=hoverstadt+loh+patterns+of+strategy&qid=1563355321&s=gateway&sr=8-1

video introduction here:

 

Patrick says in a recent LinkedIn comment:

There are several reasons conventional strategy doesn’t work, but there is one which on its own is capable of accounting for the failure rate.

Whether you start your (conventional) strategy from the inside out or the outside in, virtually none of the conventional approaches take into account what anyone else is going to do. They all assume its purely about us and what we want.

So imagine trying to drive down the road – fixed single-mindedly on where you want to go and ignoring what everyone else is doing – you wouldn’t get far without crashing and surprise surprise, strategy is no different. Which is something the military has known for millenia, but business has ignored.

If you want strategy that works, you have to look at the dynamics of relationships as the basis of it.

The good news is that this is a) a lot easier, b) a lot faster and c) a lot more effective.

 

 

Source: Patterns of StrategyPatterns of Strategy

Patterns of Strategy

Patterns of Strategy is a revolutionary approach to developing business strategy.  It’s effective and simple to use, yet extremely powerful.

Instead of simply looking at other organisations, this approach focuses on the relationships between organisations.  It gives you a framework to understand the forces acting on your strategic relationships, so that you can tap into them and design them to work for you. And this applies to all the players, from competitors to partners, from the regulator to the marketplace itself.  In Patterns of Strategy, developing strategy changes the nature of each relationship to improve your strategic fit.

The approach includes 80 patterns or strategy ‘recipes’ which describe the manoeuvres required to achieve that strategy, and performance indicators to assess performance. The patterns includes strategies for different types of organisation or context, such as small players, suppliers, defence, competition, collaboration, growth, market-changing, managing the herd, and cunning plans. There’s a toolkit which leaders and strategists can use to explore their strategic relationships, and it’s really fast, so that that you can review your strategy whenever things change.

Reviews for the Patterns of Strategy book:

Dr Simon Haslam, Head of Strategy Faculty, Institute of Directors: ‘Patterns of Strategy makes a refreshing addition to the strategy literature. ‘

David Atkinson, COO, Mindgym: ‘… beautiful in its simplicity.’

Paul Barnett, CEO, Strategic Management Bureau & Strategic Management Forum: ‘Patterns of Strategy is the first major new approach to strategy in a long time. Not re-packaged versions of existing ideas, but a completely new, and radically different, approach. The book offers descriptions of 80 common patterns of strategy in a ‘recipe book’ style, together with detailed advice on when, and how, to use them, and in what situations. It will be a “must have” for strategists.’

Prof. John Brocklesby, Head of School of Management, Victoria University of Wellington: ‘This is a novel and very significant contribution to the strategy literature.’

Ed Straw, Director PWC Global (Retd), author of Stand and Deliver: ‘Here, at last, is the unified field theory of strategy. Patterns of Strategy takes the many influencers of organisational performance and coheres them into a systemic model.’

Benjamin P Taylor, Chief Executive, Public Service Transformation Academy: ‘Every now and then, a book comes along which seems to encompass the whole of a field, explain it, critique it, and surpass it. Patterns of Strategy does just that for the practice of organisational strategy. Once you have read Patterns, you can never go back. It combines a learned and enjoyable treatise with immensely practical usability and should be on every leader’s desk, as a daily reference.’

Jan De Visch, Executive Professor Entrepreneurial MBA, Flanders Business School, Catholic University of Leuven: ‘Patterns of Strategy is practical in its approach, yet deep in wisdom. It is a must read… a rare combination of depth in thinking and ease of use. The brief case descriptions made me aware of the invisible drivers of strategy that dictate where one will go unless one actually changes the nature and direction of the structural coupling. It offers a uniquely systematic and sophisticated approach to the formulation of strategy for any business leader who wants to rethink their approach to strategy, considering both the opportunities in collaboration and in competition.’

Axel Kravatzky, Director, Syntegra Change Architects Ltd and Founding Chairman Caribbean Corporate Governance Institute Ltd: ‘Patterns of Strategy is a truly novel and powerful approach to working with strategy and should be required reading for, and in the toolkit of, all executives and boards of directors.

Consultants will love the Patterns of Strategy approach because it helps them to develop better strategies with clients who will appreciate the rigour, novelty, and the feeling of empowerment that comes with this approach.’

Stephen Brewis – Chief Scientist, BT: ‘Patterns of Strategy has changed my thinking.’

Gareth Marlow, COO, Redgate: ‘Patterns of Strategy is an approach which delivers a significant shift in mindset.’

 

Source: Patterns of StrategyPatterns of Strategy

Classes of executive functions: homeostatic, mediative, proactive | Zaleznik (1964) – Coevolving Innovations

Excellent piece from David Ing, unearthing a very interesting original piece of research.

Distinguishing the meanings made my head hurt a bit but it is worth persevering, I think. It is powerful in relating organisational dynamics of a ‘viable system’ type to interpersonal interactions and managerial dispositions.

Essentially, in looking at executive behaviour as maintaining the existence/identity/viability of organisations, three functions are identified:

Homeostatic functions – interpersonal behaviour directed to maintain homeostasis

Mediative functions – “Organization results from the modification of the action of the individual through control and influence.” – interventions supporting the organisation’s mutual adaptation with its environment.

Proactive functions – anticipating future environments and actively intervening

(There then follows a whole other thesis about certain executives having personal predispositions which lead them to prioritise one of these above the others).

I’m intrigued by relating these to functions in the Viable Systems Model – homeostatic system 2, mediative system 3, and proactive system 4.

I’m also intrigued by trying to relate these to the four requirements from both Oshry’s Organic Systems Framework and Beer’s Viable System Model, which are arguably very different – I set them out below – but my integrated four elements here:

  • Differentiate: increase ability to adapt
  • Homogenise: increase stability
  • Individuate: increase autonomy
  • Integrate the system as a whole

In this case, proactive functions would tend towards differentiation and individuation (Oshry’s ‘power’ dynamics), and mediative functions towards homogenisation and integration (‘love’ dynamics) – where would mediative fit?

(Oshry, Organic Systems Framework: differentiation and homogenisation at whole system level, individuation and integration at individual level

Beer, the Viable Systems Model: adaptability and stability at whole system level, autonomy and integration at sub-system level

Patrick Hoverstadt naturally sees the latter as provided dimensions that need to be ‘dialled up’ or ‘dialled down’ at particular times, which is plausible – I had previously seen them as optimising the levels of all four as appropriate to the system – a slightly different perspective)

 

 

This piece may also be the source of the old canard of distinguishing between ‘managers’ and ‘leaders’ – introduction to this HBR piece 2004 (https://hbr.org/2004/01/managers-and-leaders-are-they-different), which David also links to:

The difference between managers and leaders, he wrote, lies in the conceptions they hold, deep in their psyches, of chaos and order. Managers embrace process, seek stability and control, and instinctively try to resolve problems quickly—sometimes before they fully understand a problem’s significance. Leaders, in contrast, tolerate chaos and lack of structure and are willing to delay closure in order to understand the issues more fully.

And in Zaleznik’s piece:

To get people to accept solutions to problems, managers continually need to coordinate and balance opposing views. Interestingly enough, this type of work has much in common with what diplomats and mediators do, with Henry Kissinger apparently an outstanding practitioner. Managers aim to shift balances of power toward solutions acceptable as compromises among conflicting values.

Leaders work in the opposite direction. Where managers act to limit choices, leaders develop fresh approaches to long-standing problems and open issues to new options. To be effective, leaders must project their ideas onto images that excite people and only then develop choices that give those images substance.

The piece may also contain the antidote to this canard – which I think is the root of several problems with ‘leadership thinking’ – that an appropriate balance of both types of actions (regardless of dispositions) is required for organisational viability.

 

Source: Classes of executive functions: homeostatic, mediative, proactive | Zaleznik (1964) – Coevolving Innovations

 

Classes of executive functions: homeostatic, mediative, proactive | Zaleznik (1964)

A central objective of … training efforts [within and outside of universities] is to modify behavior, usually interpersonal, according to some set of norms that relate to organizational effectiveness or improved individual and group performance.

The purpose of this paper is to raise for inquiry the adequacy of existing notions of what interpersonal competence is, how it relates to the manager’s job, and the best means for helping managers achieve this competence. [Zaleznik (1964) p. 156]

Executive functions ensure the organization operates as a cooperative system through specialized authority; nonexecutive functions include technical activities of the organization that might be carried out by others.

A manager, according to Barnard (1958), operates in two spheres simultaneously. He performs a set of functions that relate directly to the technical aspects of his job, such as deciding on a brand name for a new product, or preparing a capital expenditures budget for the firm. Barnard calls these functions nonexecutive, and they can be expected to vary in content from job to job and organization to organization. Another set of functions that Barnard calls the executive functions of the manager deal with the organization as a co-operative system in which interpersonal phenomena are a significant aspect. To quote Barnard: [p. 156]

“It is important to observe, however, that, not all work done by persons who occupy executive positions is in connection with the executive functions, the co-ordination of activities of others. Some of the work of such persons, though organization work, is not executive. For example, if the president of a corporation goes out personally to sell products of his company or engages in some of the production work, these are not executive services. If the president of a university gives lectures to a class of students, this is not executive work. If the head of a government department spends time on complaints or disputes about services rendered by the department, this is not necessarily executive work. Executive work is not that of the organization, but the specialized work of maintaining the organization in operation.” (1958, p. 215). [pp. 156-157]

Earlier, Barnard states:

Organization results from the modification of the action of the individual through control of or influence upon … [(1) purposes, desires, impulses of the moment, and (2) the alternatives external to the individual recognized by him as available]. Deliberate conscious and specialized control of them is the executive function.” (1958, p. 17)

The juxtaposition of these two quotations serves to raise one fundamental issue in considering the nature of interpersonal competence as an aspect of the executive role. Barnard stresses as the core of the executive function the problems arising from personal and interpersonal attributes of Organizations as systems of co-operation. [p. 157]

The first class of executive functions cites physiologist Walter Cannon, who was known for his 1932 book on The Wisdom of the Body.  Organisms, as open systems, are able to maintain constancy (e.g. body temperature).

Homeostatic functions

Barnard stresses as the core of the executive function the problems arising from personal and interpersonal attributes of Organizations as systems of co-operation. With his emphasis on executive work as “the specialized work of maintaining the organization ” he implicitly points to interpersonal behavior of the executive that is directed toward assuring the internal stability of the organization. This function may properly be related to the homeostatic processes discussed by Cannon (1915, 1945), whose concept of an organism suggests that certain automatic devices must operate within the system to maintain a steady state in the face of changing conditions in the environment.

Following this line of thought, one’s attention is then directed toward an understanding of the interpersonal processes that are associated with maintenance of this organization. These processes we shall refer to as the interpersonal behavior directed toward the homeostatic functions of the executive.  [p. 157]

The second class of executive functions — beyond a view of a single executive function — recognizes an open system intervening in its environment.

Mediative functions

The second part of the quotation from Barnard cited earlier produces a note different from maintenance. “Organization results from the modification of the action of the individual through control and influence.” This statement suggests that the executive function proceeds through a kind of intervention, not directed necessarily toward maintaining a steady state, but directed instead toward altering behavior and attitudes with conscious intent. The way behavior is to be altered presumably is determined by the organization’s problems of mutual adaptation with its environment. We can conceive of the environment as establishing a press on the organization, requiring some internal change. The executive function, then, is to influence individuals and groups within the organization to modify behavior and attitudes so that some different adaptation to the environment is established.

This second set of executive functions we shall call mediative, since it is concerned with internal cbange in response to environmental press. Now presumably mediative functions imply certain kinds of interpersonal processes that may or may not be different from the homeostatic.  [p. 157]

The third class of executive functions looks beyond the immediate of the homeostatic and mediative, with the open system anticipating future environment(s) and actively intervening.

Proactive functions

Ordinary observation shows a type of executive function that actively seek out environmental possibilities. Instead of being reactive to environmental press, the behavior is proactive and in a sense induces change in the environment to conform to the creative use of resources available within the organization. We need not dwell too long on establishing the significance of proaction. The automobile, for example, did not emerge from environmental press, but rather from innovative behaviors of certain individuals who used a new level of scientific and technological sophistication. Let us for purposes of discussion call the third set of executive functions the proactive, although innovative would do just as well.  [p. 158]

All too little is known about the psychology of proactive behavior, and this area of our understanding is at the frontier of knowledge. But what we do know suggests a conversion and release of aggressive energy directed toward altering the environment. It is anything but conservative, and typically becomes the type of managerial behavior that in its interpersonal frame tends to induce resistance, counteraggression, and in some cases outright hostility. We should note also how sharply the proactive set differs from the more conservative homeostatic and mediative sets. In terms of the primacy of goals, the homeostatic function stresses maintaining the stability of the system as the fundamental goal, sometimes to the point where it becomes a substitute for activity in the environment. Proaction, on the other hand, disrupts internal relations in the service of changing the environment. [pp. 158-159]

Zaleznik is modest in expressing proactive functions as at the “frontier of knowledge” in psychology in 1964.  Seeing executives with three distinct classes of functions opens up a range of approaches to leading.

To recapitulate, we have implicit in the delineation of three sets of executive functions, homeostatic, mediative, and proactive, a series of dimensions that relate to modes of interpersonal behavior, cognition, and problem-solving. These dimensions include the passive-active, conservative-innovative, inward-oriented-outward-oriented (in relation to the environment), a narrow-wide effective scope of thought and relationships, (Lazarsfeld & Thielens, 1958, pp. 262-265), a short-range-long-range span of thought.

Each manager is different, and thus has accumulated his or her own personality development, that is expressed in patterns of interpersonal behaviour.  Zaleznik draws on Freud for the organization of ego, with prior authority figures and cultivated competencies where successes lead to building the self-esteem to “lead from strength”.  Leading from weakness represents a developmental failure where unsolved problems in the current reality are repeated from the past.  While most think of Freud in the context of child development, Zaleznik sees that Freud also intended unfinished business to continue into later stages of life.

The energy that the manager can expend is described in three sets (with Zaleznik rejecting a fourth).

Predispositional sets

The sets represent essentially the direction of emotional energy outward, or the individual’s energy cathexes. The objects toward which the cathexes are directed are of two main kinds: persons and ideas. In one internal set the individual may direct his emotional energy toward the tasks — technically, we speak of his cathecting the idea aspects of work. The personal and interpersonal aspects of work are not cathected to the same degree and may even, in fact, be defended against (Moment & Zaleznik, 1963). [p. 160]

A second internal set consists of a strong orientation toward persons — the cathexis is directed toward human relationships. Tasks may assume relatively little significance in the individual’s inner need and value structure, and in fact the cognitive-technical aspects of work may be defended against. To indicate how these two predispositional sets relate to stimuli in the environment, let us examine a data specimen from my current research. [….]

A third predispositional set represents a fusion of cathexes. In this case, the individual in his inner world weighs both persons and ideas as important to him and blends them in his concerns with situations in the real world.

A fourth set exists which is real enough, but which for purposes of this paper had best be excluded from consideration. This set can be characterized as conflicted or ambivalent, in the sense that the cathexes are shifting and subject to immediate internal resistances and conflicts.

The three main predispositional sets we have presented in our discussion of individual development (cathexis of persons, ideas, and a fusion of persons and ideas) represent the center of outward concern of the ego. These concerns are a product of the ego processes discussed earlier (identification, self-esteem, and energy uitilization) and emerge through the various precareer stages of the life cycle. We have some evidence suggesting how the ego processes are related to the formation of the predispositional sets and it would be useful to cite some of this evidence, although it must be viewed as highly tentative at this stage (Moment & Zaleznik, 1963).

The remainder of the article refers to Figure 1, posing questions that might be resolved with additional research with managers prioritizing performances in different orders, depending on predispositions.

(Executive Functions - Organzizational Requisites) vs. (Predispositional Set: A development condition of the ego)
Fig. 1. The Interaction of Executive Funcitons and Predispositional Sets [Zaleznik (1964), p. 163]

The matrix in Figure 1 permits us to ask several questions:

(1) Would there be a tendency for an individual with a dominant set of one kind to select for specialization one of the three executive functions?

(2) What types of interpersonal modalities are represented by the specializations implicit in each cell?

(3) From the point of view of organizational effectiveness, does optimal managerial behavior imply the capacity for flexibility in interpersonal modalities, or is there a requirement that the functions be performed within a constellation of executive roles that exemplify mutuality and complementarity?

(4) From the point of view of individual development through the career years, should emphasis be placed on flexibility in both functions performed and consequent modifications of the underlying predispositional sets?

(5) Or does individual development proceed more fruitfully by specialized functions. This idea is expressed by the shadings within each cell.

While every individual can probably shift interpersonal modes to conform to the various functional requisites, each set would appear to be selectively oriented toward a particular function. The person-oriented individual would perform most easily in the range of interpersonal behaviors associated with the homeostatic functions. We would assume that such an individual would, relatively speaking, avoid proactive functions. Under conditions where proaction was thrust upon him and avoidance became difficult, the defensive apparatus of the individual would be under stress.  [p. 163, editorial paragraphing added]

The idea-oriented individual, on the other hand, would perform most easily in the proactive functions, utilizing aggression and dominance as major components of his interpersonal style. Presumably, the homeostatic functions are not well understood by a proactive individual and may be strongly avoided. To continue our speculations, organizational effectiveness would seem to require as a prerequisite some mix in the performance of executive functions to assure both the securing of purpose and the maintenance of the internal capacities of the organization.  [pp. 163-164]

The article concludes with some view on education and development of the manager, with (i) role specialization to improve interpersonal performance guided by the individual’s stage in life cycle; /or (ii) role flexibility in reforming the organization rather than the individual.

This 1964 article by Zaleznik is more open-ended than the 1977 publication of “Managers and Leaders, Are They Different?”.  That writing, targeted at business executives, doesn’t use the phrases of nonexecutive and executive functions.  However, the systems foundations and psychological references are much clearer in the earlier article.

This article provides an appreciation that all managers are not equally proactive, and their predispositions may or may not be changed through additional educational development.

Footnotes

[1] The Oxford English Dictionary provides two meaning for proactive, with the first definition dating back to 1933, and the second definition citing a book, Zaleznik (1966) Human Dilemmas of Leadership.

Etymology: < pro- prefix2 + active adj. In sense 1 after retroactive adj. (see sense 4 at that entry). In sense 2 after reactive adj., and probably influenced by pro- prefix1.

1Psychology. That affects subsequent learning, or the remembering of what is subsequently learned.

2. Of a person, action, policy, etc.: creating or controlling a situation by taking the initiative and anticipating events or problems, rather than just reacting to them after they have occurred; (hence, more generally) innovative, tending to make things happen.

References

Zaleznik, Abraham. 1964. “Managerial Behavior and Interpersonal Competence.” Behavioral Science 9 (2): 156–166. https://doi.org/10.1002/bs.3830090208. Alternate search at https://scholar.google.com/scholar?cluster=5638923636825278132

Zaleznik,, Abraham. 1977. “Leaders and Managers: Are They Different.” Harvard Business Review 44: 67–78. Republished in 1992 Harvard Business Review v70 n2; and then 2004 Harvard Business Review at https://hbr.org/2004/01/managers-and-leaders-are-they-different.

Source: Classes of executive functions: homeostatic, mediative, proactive | Zaleznik (1964) – Coevolving Innovations

Soros: General Theory of Reflexivity | Financial Times, 2009

Mentioned in the OECD videos just linked – Soros identifies fallibility (model not mapping to reality) and reflexivity (a positive feedback loop where the fallibility is geared to drive more fallibility as potentially disconfirming feedback is received).

 

Source: Soros: General Theory of Reflexivity | Financial Times

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Soros: General Theory of Reflexivity Share on Twitter (opens new window) Share on Facebook (opens new window) Share on LinkedIn (opens new window) Save Save to myFT OCTOBER 26, 2009 Print this page In the course of my life, I have developed a conceptual framework which has helped me both to make money as a hedge fund manager and to spend money as a policy oriented philanthropist. But the framework itself is not about money, it is about the relationship between thinking and reality, a subject that has been extensively studied by philosophers from early on. I started developing my philosophy as a student at the London School of Economics in the late 1950s. I took my final exams one year early and I had a year to fill before I was qualified to receive my degree. I could choose my tutor and I chose Karl Popper, the Viennese-born philosopher whose book The Open Society and Its Enemies had made a profound impression on me. In his books Popper argued that the empirical truth cannot be known with absolute certainty. Even scientific laws can’t be verified beyond a shadow of a doubt: they can only be falsified by testing. One failed test is enough to falsify, but no amount of conforming instances is sufficient to verify. Scientific laws are hypothetical in character and their truth remains subject to testing. Ideologies which claim to be in possession of the ultimate truth are making a false claim; therefore, they can be imposed on society only by force. This applies to Communism, Fascism and National Socialism alike. All these ideologies lead to repression. Popper proposed a more attractive form of social organization: an open society in which people are free to hold divergent opinions and the rule of law allows people with different views and interests to live together in peace. Having lived through both Nazi and Communist occupation here in Hungary I found the idea of an open society immensely attractive. While I was reading Popper I was also studying economic theory and I was struck by the contradiction between Popper’s emphasis on imperfect understanding and the theory of perfect competition in economics which postulated perfect knowledge. This led me to start questioning the assumptions of economic theory. These were the two major theoretical inspirations of my philosophy. It is also deeply rooted in my personal history. The formative experience of my life was the German occupation of Hungary in 1944. I was not yet fourteen years old at the time, coming from a reasonably well-to-do middle class background, suddenly confronted with the prospect of being deported and killed just because I was Jewish. Fortunately my father was well prepared for this far-from-equilibrium experience. He had lived through the Russian Revolution and that was the formative experience of his life. Until then he had been an ambitious young man. When the First World War broke out, he volunteered to serve in the Austro-Hungarian army. He was captured by the Russians and taken as a prisoner of war to Siberia. Being ambitious, he became the editor of a newspaper produced by the prisoners. It was handwritten and displayed on a plank and it was called The Plank. This made him so popular that he was elected the prisoners’ representative. Then some soldiers escaped from a neighboring camp, and their prisoners’ representative was shot in retaliation. My father, instead of waiting for the same thing to happen in his camp, organized a group and led a breakout. His plan was to build a raft and sail down to the ocean, but his knowledge of geography was deficient; he did not know that all the rivers in Siberia flow into the Arctic Sea. They drifted for several weeks before they realized that they were heading for the Arctic, and it took them several more months to make their way back to civilization across the taiga. In the meantime, the Russian Revolution broke out, and they became caught up in it. Only after a variety of adventures did my father manage to find his way back to Hungary; had he remained in the camp, he would have arrived home much sooner. My father came home a changed man. His experiences during the Russian Revolution profoundly affected him. He lost his ambition and wanted nothing more from life than to enjoy it. He imparted to his children values that were very different from those of the milieu in which we lived. He had no desire to amass wealth or become socially prominent. On the contrary, he worked only as much as was necessary to make ends meet. I remember being sent to his main client to borrow some money before we went on a ski vacation; my father was grouchy for weeks afterwards because he had to work to pay it back. Although we were reasonably prosperous, we were not the typical bourgeois family, and we were proud of being different. In 1944, when the Germans occupied Hungary, my father immediately realized that these were not normal times and the normal rules didn’t apply. He arranged false identities for his family and a number of other people. Those who could, paid; others he helped for free. Most of them survived. That was his finest hour. * * * Living with false identity turned out to be an exhilarating experience for me too. We were in mortal danger. People perished all around us, but we managed not only to survive but to help other people. We were on the side of the angels, and we triumphed against overwhelming odds. This made me feel very special. It was high adventure. I had a reliable guide in my father and came through unscathed. What more could a fourteen-year-old ask for? After the euphoric experience of escaping the Nazis, life in Hungary started to lose its luster during the Soviet occupation. I was looking for new challenges and with my father’s help I found my way out of Hungary. When I was seventeen I became a student in London. In my studies, my primary interest was to gain a better understanding of the strange world into which I had been born, but I have to confess, I also harbored some fantasies of becoming an important philosopher. I believed that I had gained insights that set me apart from other people. Living in London was a big letdown. I was without money, alone, and people were not interested in what I had to say. But I didn’t abandon my philosophical ambitions even when circumstances forced me to make a living in more mundane pursuits. After completing my studies, I had a number of false starts. Finally I ended up as an arbitrage trader in New York but in my free time I continued to work on my philosophy. That is how I came to write my first major essay, entitled “The Burden of Consciousness.” It was an attempt to model Popper’s framework of open and closed societies. It linked organic society with a traditional mode of thinking, closed society with a dogmatic mode and open society with a critical mode. What I could not properly resolve was the nature of the relationship between the mode of thinking and the actual state of affairs. That problem continued to preoccupy me and that is how I came to develop the concept of reflexivity—a concept I shall explore in greater detail a little later. It so happened that the concept of reflexivity provided me with a new way of looking at financial markets, a better way than the prevailing theory. This gave me an edge, first as a securities analyst and then as a hedge fund manager. I felt as if I were in possession of a major discovery that would enable me to fulfill my fantasy of becoming an important philosopher. At a certain moment when my business career ran into a roadblock I shifted gears and devoted all my energies to developing my philosophy. But I treasured my discovery so much that I could not part with it. I felt that the concept of reflexivity needed to be explored in depth. As I delved deeper and deeper into the subject I got lost in the intricacies of my own constructions. One morning I could not understand what I had written the night before. At that point I decided to abandon my philosophical explorations and to focus on making money. It was only many years later, after a successful run as a hedge fund manager, that I returned to my philosophy. I published my first book, The Alchemy of Finance, in 1987. In that book I tried to explain the philosophical underpinnings of my approach to financial markets. The book attracted a certain amount of attention. It has been read by most people in the hedge fund industry and it is taught in business schools but the philosophical arguments did not make much of an impression. They were largely dismissed as the conceit of a man who has been successful in business and fancied himself as a philosopher. I myself came to doubt whether I was in possession of a major new insight. After all I was dealing with a subject that has been explored by philosophers since time immemorial. What grounds did I have for thinking that I had made a new discovery, especially as nobody else seemed to think so? Undoubtedly the conceptual framework was useful to me personally but it did not seem to be considered equally valuable by others. I had to accept their judgment. I didn’t give up my philosophical interests, but I came to regard them as a personal predilection. I continued to be guided by my conceptual framework both in my business and in my philanthropic activities—which came to assume an increasingly important role in my life—and each time I wrote a book I faithfully recited my arguments. This helped me to develop my conceptual framework, but I continued to consider myself a failed philosopher. Once I even gave a lecture with the title “A Failed Philosopher Tries Again.” All this has changed as a result of the financial crisis of 2008. My conceptual framework enabled me both to anticipate the crisis and to deal with it when it finally struck. It has also enabled me to explain and predict events better than most others. This has changed my own evaluation and that of many others. My philosophy is no longer a personal matter; it deserves to be taken seriously as a possible contribution to our understanding of reality. That is what has prompted me to give this series of lectures. * * * So here it goes. Today I shall explain the concepts of fallibility and reflexivity in general terms. Tomorrow I shall apply them to the financial markets and after that, to politics. That will also bring in the concept of open society. In the fourth lecture I shall explore the difference between market values and moral values, and in the fifth I shall offer some predictions and prescriptions for the present moment in history. * * * I can state the core idea in two relatively simple propositions. One is that in situations that have thinking participants, the participants’ view of the world is always partial and distorted. That is the principle of fallibility. The other is that these distorted views can influence the situation to which they relate because false views lead to inappropriate actions. That is the principle of reflexivity. For instance, treating drug addicts as criminals creates criminal behavior. It misconstrues the problem and interferes with the proper treatment of addicts. As another example, declaring that government is bad tends to make for bad government. Both fallibility and reflexivity are sheer common sense. So when my critics say that I am merely stating the obvious, they are right—but only up to a point. What makes my propositions interesting is that their significance has not been generally appreciated. The concept of reflexivity, in particular, has been studiously avoided and even denied by economic theory. So my conceptual framework deserves to be taken seriously—not because it constitutes a new discovery but because something as commonsensical as reflexivity has been so studiously ignored. Recognizing reflexivity has been sacrificed to the vain pursuit of certainty in human affairs, most notably in economics, and yet, uncertainty is the key feature of human affairs. Economic theory is built on the concept of equilibrium, and that concept is in direct contradiction with the concept of reflexivity. As I shall show in the next lecture, the two concepts yield two entirely different interpretations of financial markets. The concept of fallibility is far less controversial. It is generally recognized that the complexity of the world in which we live exceeds our capacity to comprehend it. I have no great new insights to offer. The main source of difficulties is that participants are part of the situation they have to deal with. Confronted by a reality of extreme complexity we are obliged to resort to various methods of simplification—generalizations, dichotomies, metaphors, decision-rules, moral precepts, to mention just a few. These mental constructs take on an existence of their own, further complicating the situation. The structure of the brain is another source of distortions. Recent advances in brain science have begun to provide some insight into how the brain functions, and they have substantiated Hume’s contention that reason is the slave of passion. The idea of a disembodied intellect or reason is a figment of our imagination. The brain is bombarded by millions of sensory impulses but consciousness can process only seven or eight subjects concurrently. The impulses need to be condensed, ordered and interpreted under immense time pressure, and mistakes and distortions can’t be avoided. Brain science adds many new details to my original contention that our understanding of the world in which we live is inherently imperfect. * * * The concept of reflexivity needs a little more explication. It applies exclusively to situations that have thinking participants. The participants’ thinking serves two functions. One is to understand the world in which we live; I call this the cognitive function. The other is to change the situation to our advantage. I call this the participating or manipulative function. The two functions connect thinking and reality in opposite directions. In the cognitive function, reality is supposed to determine the participants’ views; the direction of causation is from the world to the mind. By contrast, in the manipulative function, the direction of causation is from the mind to the world, that is to say, the intentions of the participants have an effect on the world. When both functions operate at the same time they can interfere with each other. How? By depriving each function of the independent variable that would be needed to determine the value of the dependent variable. Because, when the independent variable of one function is the dependent variable of the other, neither function has a genuinely independent variable. This means that the cognitive function can’t produce enough knowledge to serve as the basis of the participants’ decisions. Similarly, the manipulative function can have an effect on the outcome, but can’t determine it. In other words, the outcome is liable to diverge from the participants’ intentions. There is bound to be some slippage between intentions and actions and further slippage between actions and outcomes. As a result, there is an element of uncertainty both in our understanding of reality and in the actual course of events. To understand the uncertainties associated with reflexivity, we need to probe a little further. If the cognitive function operated in isolation without any interference from the manipulative function it could produce knowledge. Knowledge is represented by true statements. A statement is true if it corresponds to the facts—that is what the correspondence theory of truth tells us. But if there is interference from the manipulative function, the facts no longer serve as an independent criterion by which the truth of a statement can be judged because the correspondence may have been brought about by the statement changing the facts. Consider the statement, “it is raining.” That statement is true or false depending on whether it is, in fact, raining. Now consider the statement, “This is a revolutionary moment.” That statement is reflexive, and its truth value depends on the impact it makes. Reflexive statements have some affinity with the paradox of the liar, which is a self-referential statement. But while self-reference has been extensively analyzed, reflexivity has received much less attention. This is strange, because reflexivity has an impact on the real world, while self-reference is purely a linguistic phenomenon. In the real world, the participants’ thinking finds expression not only in statements but also, of course, in various forms of action and behavior. That makes reflexivity a very broad phenomenon that typically takes the form of feedback loops. The participants’ views influence the course of events, and the course of events influences the participants’ views. The influence is continuous and circular; that is what turns it into a feedback loop. Reflexive feedback loops have not been rigorously analyzed and when I originally encountered them and tried to analyze them, I ran into various complications. The feedback loop is supposed to be a two-way connection between the participant’s views and the actual course of events. But what about a two-way connection between the participants’ views? And what about a solitary individual asking himself who he is and what he stands for and changing his behavior as a result of his reflections? In trying to resolve these difficulties I got so lost among the categories I created that one morning I couldn’t understand what I had written the night before. That’s when I gave up philosophy and devoted my efforts to making money. To avoid that trap let me propose the following terminology. Let us distinguish between the objective and subjective aspects of reality. Thinking constitutes the subjective aspect, events the objective aspect. In other words, the subjective aspect covers what takes place in the minds of the participants, the objective aspect denotes what takes place in external reality. There is only one external reality but many different subjective views. Reflexivity can then connect any two or more aspects of reality, setting up two-way feedback loops between them. Exceptionally it may even occur with a single aspect of reality, as in the case of a solitary individual reflecting on his own identity. This may be described as “self-reflexivity.” We may then distinguish between two broad categories: reflexive relationships which connect the subjective aspects and reflexive events which involve the objective aspect. Marriage is a reflexive relationship; the Crash of 2008 was a reflexive event. When reality has no subjective aspect, there can be no reflexivity. * * * Feedback loops can be either negative or positive. Negative feedback brings the participants’ views and the actual situation closer together; positive feedback drives them further apart. In other words, a negative feedback process is self-correcting. It can go on forever and if there are no significant changes in external reality, it may eventually lead to an equilibrium where the participants’ views come to correspond to the actual state of affairs. That is what is supposed to happen in financial markets. So equilibrium, which is the central case in economics, turns out to be an extreme case of negative feedback, a limiting case in my conceptual framework. By contrast, a positive feedback process is self-reinforcing. It cannot go on forever because eventually the participants’ views would become so far removed from objective reality that the participants would have to recognize them as unrealistic. Nor can the iterative process occur without any change in the actual state of affairs, because it is in the nature of positive feedback that it reinforces whatever tendency prevails in the real world. Instead of equilibrium, we are faced with a dynamic disequilibrium or what may be described as far-from-equilibrium conditions. Usually in far-from-equilibrium situations the divergence between perceptions and reality leads to a climax which sets in motion a positive feedback process in the opposite direction. Such initially self-reinforcing but eventually self-defeating boom-bust processes or bubbles are characteristic of financial markets, but they can also be found in other spheres. There, I call them fertile fallacies—interpretations of reality that are distorted, yet produce results which reinforce the distortion. * * * I realize that this is all very abstract and difficult to follow. It would make it much easier if I gave some concrete examples. But you will have to bear with me. I want to make a different point and the fact that it is difficult to follow abstract arguments helps me make it. In dealing with subjects like reality or thinking or the relationship between the two, it’s easy to get confused and formulate problems the wrong way. So misinterpretations and misconceptions can play a very important role in human affairs. The recent financial crisis can be attributed to a mistaken interpretation of how financial markets work. I shall discuss that in the next lecture. In the third lecture, I shall discuss two fertile fallacies—the Enlightenment fallacy and the post-modern fallacy. These concrete examples will demonstrate how important misconceptions have been in the course of history. But for the rest of this lecture I shall stay at the lofty heights of abstractions. I contend that situations that have thinking participants have a different structure from natural phenomena. The difference lies in the role of thinking. In natural phenomena thinking plays no causal role and serves only a cognitive function. In human affairs thinking is part of the subject matter and serves both a cognitive and a manipulative function. The two functions can interfere with each other. The interference does not occur all the time—in everyday activities, like driving a car or painting a house, the two functions actually complement each other—but when it occurs, it introduces an element of uncertainty which is absent from natural phenomena. The uncertainty manifests itself in both functions: the participants’ act on the basis of imperfect understanding and the results of their actions will not correspond to their expectations. That is a key feature of human affairs. By contrast, in the case of natural phenomena, events unfold irrespective of the views held by the observers. The outside observer is engaged only in the cognitive function and the phenomena provide a reliable criterion by which the truth of the observers’ theories can be judged. So the outside observer can obtain knowledge. Based on that knowledge, nature can be successfully manipulated. There is a natural separation between the cognitive and manipulative functions. Due to their separation, both functions can serve their purpose better than in the human sphere. At this point, I need to emphasize that reflexivity is not the only source of uncertainty in human affairs. Yes, reflexivity does introduce an element of uncertainty both into the participants views and the actual course of events, but other factors may also have the same effect. For instance, the fact that participants cannot know what the other participants know, is something quite different from reflexivity, yet it is a source of uncertainty in human affairs. The fact that different participants have different interests, some of which may be in conflict with each other, is another source of uncertainty. Moreover, each individual participant may be guided by a multiplicity of values which may not be self-consistent, as Isaiah Berlin pointed out. The uncertainties created by these factors are likely to be even more extensive than those generated by reflexivity. I shall lump them all together and speak of the human uncertainty principle, which is an even broader concept than reflexivity. The human uncertainty principle I am talking about is much more specific and stringent than the subjective skepticism that pervades Cartesian philosophy. It gives us objective reasons to believe that our perceptions and expectations are—or at least may be—wrong. Although the primary impact of human uncertainty falls on the participants, it has far-reaching implications for the social sciences. I can explicate them best by invoking Karl Popper’s theory of scientific method. It is a beautifully simple and elegant scheme. It consists of three elements and three operations. The three elements are scientific laws and the initial and final conditions to which those laws apply. The three operations are prediction, explanation, and testing. When the scientific laws are combined with the initial conditions, they provide predictions. When they are combined with the final conditions, they provide explanations. In this sense predictions and explanations are symmetrical and reversible. That leaves testing, where predictions derived from scientific laws are compared with the actual results. According to Popper, scientific laws are hypothetical in character; they cannot be verified, but they can be falsified by testing. The key to the success of scientific method is that it can test generalizations of universal validity with the help of singular observations. One failed test is sufficient to falsify a theory but no amount of confirming instances is sufficient to verify. This is a brilliant solution to the otherwise intractable problem: how can science be both empirical and rational? According to Popper it is empirical because we test our theories by observing whether the predictions we derive from them are true, and it is rational because we use deductive logic in doing so. Popper dispenses with inductive logic and relies instead on testing. Generalizations that cannot be falsified, do not qualify as scientific. Popper emphasizes the central role that testing plays in scientific method and establishes a strong case for critical thinking by asserting that scientific laws are only provisionally valid and remain open to reexamination. Thus the three salient features of Popper’s scheme are the symmetry between prediction and explanation, the asymmetry between verification and falsification and the central role of testing. Testing allows science to grow, improve and innovate. Popper’s scheme works well for the study of natural phenomena but the human uncertainty principle throws a monkey wrench into the supreme simplicity and elegance of Popper’s scheme. The symmetry between prediction and explanation is destroyed because of the element of uncertainty in predictions and the central role of testing is endangered. Should the initial and final conditions include or exclude the participant’s thinking? The question is important because testing requires replicating those conditions. If the participants’ thinking is included, it is difficult to observe what the initial and final conditions are, because the participants’ views can only be inferred from their statements or actions. If it is excluded, the initial and final conditions do not constitute singular observations because the same objective conditions may be associated with very different views held by the participants. In either case, generalizations cannot be properly tested. These difficulties do not preclude social scientists from producing worthwhile generalizations, but they are unlikely to meet the requirements of Popper’s scheme, nor can they match the predictive power of the laws of physics. Social scientists have found this conclusion hard to accept. Economists in particular suffer from what Sigmund Freud might call “physics envy.” There have been many attempts to eliminate the difficulties connected with the human uncertainty principle by inventing or postulating some kind of fixed relationship between the participants’ thinking and the actual state of affairs. Karl Marx asserted that the ideological superstructure was determined by the material conditions of production and Freud maintained that people’s behavior was determined by drives and complexes of which they were not even conscious. Both claimed scientific status for their theories although, as Popper pointed out, they cannot be falsified by testing. But by far the most impressive attempt has been mounted by economic theory. It started out by assuming perfect knowledge and when that assumption turned out to be untenable it went through ever increasing contortions to maintain the fiction of rational behavior. Economics ended up with the theory of rational expectations which maintains that there is a single optimum view of the future, that which corresponds to it, and eventually all the market participants will converge around that view. This postulate is absurd but it is needed in order to allow economic theory to model itself on Newtonian physics. Interestingly, both Karl Popper and Friedrich Hayek recognized, in their famous exchange in the pages of Economica, that the social sciences cannot produce results comparable to physics. Hayek inveighed against the mechanical and uncritical application of the quantitative methods of natural science. He called it scientism. And Karl Popper wrote about “The Poverty of Historicism” where he argued that history is not determined by universally valid scientific laws. Nevertheless, Popper proclaimed what he called the “doctrine of the unity of method” by which he meant that both natural and social sciences should be judged by the same criteria. And Hayek, of course, became the apostle of the Chicago school of economics where market fundamentalism originated. But as I see it, the implication of the human uncertainty principle is that the subject matter of the natural and social sciences is fundamentally different; therefore they need to develop different methods and they have to be held to different standards. Economic theory should not be expected to produce universally valid laws that can be used reversibly to explain and predict historic events. I contend that the slavish imitation of natural science inevitably leads to the distortion of human and social phenomena. What is attainable in social science falls short of what is attainable in physics. I am somewhat troubled, however, about drawing too sharp a distinction between natural and social science. Such dichotomies are usually not found in reality; they are introduced by us, in our efforts to make some sense out of an otherwise confusing reality. Indeed while a sharp distinction between physics and social sciences seems justified, there are other sciences, such as biology and the study of animal societies that occupy intermediate positions. But I had to abandon my reservations and recognize a dichotomy between the natural and social sciences because the social sciences encounter a second difficulty from which the natural sciences are exempt. And that is that social theories are reflexive. Heisenberg’s discovery of the uncertainty principle did not alter the behavior of quantum particles one iota, but social theories, whether Marxism, market fundamentalism or the theory of reflexivity, can affect the subject matter to which it refers. Scientific method is supposed to be devoted to the pursuit of truth. Heisenberg’s uncertainty principle does not interfere with that postulate but the reflexivity of social theories does. Why should social science confine itself to passively studying social phenomena when it can be used to actively change the state of affairs? As I remarked in The Alchemy of Finance, the alchemists made a mistake in trying to change the nature of base metals by incantation. Instead, they should have focused their attention on the financial markets where they could have succeeded. How could social science be protected against this interference? I propose a simple remedy: recognize a dichotomy between the natural and social sciences. This will ensure that social theories will be judged on their merits and not by a false analogy with natural science. I propose this as a convention for the protection of scientific method, not as a demotion or devaluation of social science. The convention sets no limits on what social science may be able to accomplish. On the contrary, by liberating social science from the slavish imitation of natural science and protecting it from being judged by the wrong standards, it should open up new vistas. It is in this spirit that I shall put forward my interpretation of financial markets tomorrow. I apologize for dwelling so long in the rarefied realm of abstractions. I promise to come down to earth in my next lecture. Thank you.

NAEC masterclasses on new approaches to economic challenges 17/04/2019

Robert Lamb says:

“I found this link this morning that might be worth a mention on SYSCOI https://oecdtv.webtv-solution.com/5504/or/NAEC-masterclasses-on-new-approaches-to-economic-challenges.html  (there’s an option to download for offline viewing). Note this is the morning session; there’s a link on the page for the afternoon session.

Haven’t watched it yet, but looks like an interesting day’s seminar including agent based and SD modelling and the obligatory nod to complexity.”

It is indeed interesting!

 

Source: NAEC masterclasses on new approaches to economic challenges

Two Lyapunov Functions for Flexible Organizations – Guido Fioretti May 2008

[if anyone can explain this to me, I’d be grateful 🙂 ]
Two Lyapunov Functions for Flexible Organizations – Guiod Fioretti May 2008
Abstract
Since the second half of the past century, increasingly flexible organizational forms are appearing among firms. However, while hierarchies are easily described, too few mathematical tools are available for flexible organizations. In this article, two Lyapunov functions are proposed in order to assess the state and trend of flexible organizations. The first of these functions is based on information waste. The second function is based on duplication of operations. The underlying idea is that firms tend towards organizational configurations where waste of information and duplication of operations are minimized.

Source: Two Lyapunov Functions for Flexible Organizations – Munich Personal RePEc Archive

pdf:

Click to access MPRA_paper_8204.pdf

Strategic Analytics — NECSI: Executive course, Nov 18-19 2019 Cambridge (our fair city), MA, USA

STRATEGIC ANALYTICS

This two day course prepares leaders to think, anticipate, and respond strategically in a complex environment utilizing the latest advances and tools from the field of complexity science.

November 18-19, 2019

$2,500 corporate
$1,500 government/NGO

For two intense days this course prepares leaders to think, anticipate, and respond strategically in a complex environment. Complexity science allows us to accurately predict real world events and describe unintended consequences, dynamics, and emergent behaviors in real world social systems. Learn how to harness this framework to extract the most important information from data for advanced decision making and innovation in organizations.

The course will cover: 

  • Identifying the leverage points to manage instability and risk

  • Strategies for framing actionable responses to achieve desired outcomes

  • Prediction at the limits of uncertainty

  • Understanding the implications of rapid global social and political change

More in source: Strategic Analytics — NECSI: Executive

 

Gregory Bateson changed the way we think about changing ourselves | Aeon Essays

 

Source: Gregory Bateson changed the way we think about changing ourselves | Aeon Essays

 

Impossible choices

Learning from his family, his animals and his work with tribal people, Gregory Bateson saw the creative potential of paradox

Gregory and Nora Bateson with pet gibbon, Hawaii, 1970. Photo courtesy the Bateson Idea Group

Tim Parks 

is a British author, translator and essayist who lives in Milan in Italy. He has written 14 novels, the latest of which is In Extremis (2017), and has translated works by Italo Calvino, Niccolò Machiavelli and Giacomo Leopardi, among others. His latest book is Out of My Head: On the Trail of Consciousness(2017).

4,600 words

Edited by Nigel Warburton

There are times when a dilemma that seems like agony in adolescence can not only provide the basis for a prestigious career, but also lead to a profound shift in the world of ideas. Thus it is that the predicament faced by the 17-year-old Gregory Bateson, following his brother’s suicide in 1922, turns out to be extremely relevant to us today, for it eventually led him to revolutionise the study of anthropology, bring communication theory to psychoanalysis (thus undermining the Freudian model), invent the concept of the ‘double bind’, and make one of the first coherent, scientifically and philoso­phi­cally argued pleas for a holistic approach to the world’s environmental crisis. Seeking to condense Bateson’s work into one core concept, one can say that, above all, he proposed a paradigm shift in the way we think of ourselves as purposeful, decisionmaking actors in the world.

Born in 1904, Gregory was named after Gregor Mendel, the monk and botanist who opened the way to an understanding of how hereditary traits are passed on from one generation to the next. Gregory’s father, William Bateson, had championed Mendel’s theories in England, involving himself in years of violent polemics as to the nature of the evolutionary process, and coining the word ‘genetics’ in the process.

So this was a family of scientists. William’s wife Beatrice worked with him on his research, and his father had been an academic. Gregory’s eldest brother John was studying biology at the University of Cambridge when he was conscripted to fight in the First World War, and killed in 1918. His other brother Martin also went to Cambridge to study zoology. Gregory, some five years younger, was expected to do the same, like his namesake; high achievement, in the Bateson family, was the only justification for living.

Yet his father insisted that the greatest achievement of all was art. Art was sublime, science a poor second. His father collected art, in particular the work of the visionary William Blake, whose original watercolour Satan Exulting Over Eve (1795) hung on the wall in the sitting room. And he associated the special genius of the artist with the idea of the genetic leap, the kind of evolutionary change that can take the race to a higher level of development. It’s just that he did not believe his family could aim so high.

Given these conflicting messages – you must achieve, but you are not capable of the highest achievement – it was probably inevitable that one of the three sons would seek to be an artist. Belligerent and exhibitionist like his father, furious too with the British establishment that had supported the war that killed his brother, Martin gave up science for poetry and the theatre. His father opposed him. The two argued and fought. Eventually, infatuated with a young woman who did not return his affection, Martin chose his dead brother’s birthday to go to the statue of Eros in Piccadilly Circus and shoot himself in the head. He was 22.

Gregory, hitherto considered the dummy of the family, now found himself saddled with all his parents’ considerable expectations. The very day after Martin’s suicide, his father wrote to the boy in boarding school to remind him that only ‘great work’ makes life worthwhile, but, once again, that ‘art is scarcely in the reach of people like ourselves’. Martin’s death proved this. ‘Fix your mind on some impersonal definite interest,’ his mother told him in a separate letter.

Gregory was about to go to university: Cambridge, of course. ‘I was left holding a sort of bag,’ he later reflected, ‘protecting these people as if they were made of glass.’ His parents insisted he study zoology; they seemed frightened of anything wayward, psychological, unstable. Yet for Bateson the only worthy object of study appeared to be human behaviour, the kind of complex circumstances – the war, British academia, his family background – that had created the drama he was living through. What he would eventually do was to use the tools of observation and analysis that his father taught him, the zoologist’s attention to patterning and morphology, to bring a fresh approach to the study of behaviour in groups, and above all how individuals communicate and relate in groups. Rereading his two great works, Naven(1936) and Steps to an Ecology of Mind (1972), it is evident that his influence in various fields has been enormous; also, that the message he eventually formulated through the 1960s and ’70s remains as urgent as ever.

Continues in source: Gregory Bateson changed the way we think about changing ourselves | Aeon Essays

 

The Chemical Basis of Morphogenesis – Alan Turing (1952)

Why isn’t Alan Turing more central in systems thinking/cybernetics?

 

Wikipedia article below and:

pdf –

Click to access turing.pdf

slides about Turing – http://dosequis.colorado.edu/Courses/MethodsLogic/Docs/Turing.pdf

Turing’s Theory of Morphogenesis: Where We Started, Where We Are and Where We Want to Go – Thomas E. Woolley, Ruth E. Baker, and Philip K. Main – https://people.maths.ox.ac.uk/maini/PKM%20publications/428.pdf

photos of the original paper – http://www.turingarchive.org/viewer/?id=476&title=2

 

Source: The Chemical Basis of Morphogenesis – Wikipedia

The Chemical Basis of Morphogenesis

From Wikipedia, the free encyclopedia

Turing’s paper explained how natural patterns such as stripes, spots and spirals, like those of the giant pufferfish, may arise naturally.

The Chemical Basis of Morphogenesis” is an article written by the English mathematician Alan Turing in 1952 describing the way in which natural patterns such as stripes, spots and spirals may arise naturally out of a homogeneous, uniform state.[1] The theory, which can be called a reaction–diffusion theory of morphogenesis, has served as a basic model in theoretical biology.[2]

Reaction–diffusion systems

Reaction–diffusion systems have attracted much interest as a prototype model for pattern formation. Patterns such as fronts, spirals, targets, hexagons, stripes and dissipative solitons are found in various types of reaction-diffusion systems in spite of large discrepancies e.g. in the local reaction terms. Such patterns have been dubbed “Turing patterns“.[3]

Reaction–diffusion processes form one class of explanation for the embryonic development of animal coats and skin pigmentation.[4][5] Another reason for the interest in reaction-diffusion systems is that although they represent nonlinear partial differential equations, there are often possibilities for an analytical treatment.[6][7][8]

About us – Centuri Living Systems

I found another systems institute!

 

More in source: About us – Centuri Living Systems

 

Presentation

The Turing Centre for Living Systems (CENTURI) is an interdisciplinary project located in Marseille (France).

CENTURI aims at developing an integrated interdisciplinary community, to decipher the complexity of biological systemsthrough the understanding of how biological function emerges from the organization and dynamics of living systems.

The project federates 15 teaching and research institutes in biology, physics, mathematics, computer science, engineering and focuses on ResearchEducation and Engineering, 3 missions that hold interdisciplinary as their core principle.

The research and training programmes implemented under the auspices of CENTURI will foster new collaborations, will transform practices, will attract new talents and thereby contribute to making the Luminy campus a leading site for the ​​interdisciplinary study of biological systems.

Governance

The Turing Centre is under the scientific direction of Pr. Thomas Lecuit, Research Director (IBDM). Five committees provide the executive director with expertise and advice on the distribution of the collaborative means and management of the whole project.

Why CENTURI ?

The name “CENTURI” has been chosen to the honor of Alan Turing, famous mathematician and computer scientist, but also pioneer in theoretical biology.

In 1952, he published a seminal paper entitled “The Chemical Basis of Morphogenesis”, a landmark in theoretical biology. It triggered a whole new field of mathematical enquiry into pattern formation, deciphering reaction-diffusion mechanisms and their consequences in dynamic living systems.

CENTURI is laureate of the National call ”Instituts Convergences” of the French State in the context of the ”Investments for the Future” programme (2nd PIA). The project will recruit more than 100 people (researchers, engineers, PhD students, Post-docs) over 9 years with a budget of € 20 million co-funded by the French National Research Agency and the A*MIDEX Foundation.
amidex
amu

Embodied robots driven by self-organized environmental feedback

cxdig's avatarComplexity Digest

Which kind of complex behavior may arise from self-organizing principles? We investigate this question for the case of snake-like robots composed of passively coupled segments, with every segment containing two wheels actuated separately by a single neuron. The robot is self-organized both on the level of the individual wheels and with respect to inter-wheel coordination, which arises exclusively from the mechanical coupling of the individual wheels and segments. For the individual wheel, the generating principle proposed results in locomotive states that correspond to self-organized limit cycles of the sensorimotor loop. Our robot interacts with the environment by monitoring the state of its actuators, that is, via propriosensation. External sensors are absent. In a structured environment the robot shows complex emergent behavior that includes pushing movable blocks around, reversing direction when hitting a wall, and turning when climbing a slope. On flat grounds the robot wiggles in a snake-like manner, when…

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