The sociocybernetics of observation and reflexivity – Bernard Scott, 2019

No open access version available yet, AFAIK

 

Source: The sociocybernetics of observation and reflexivity – Bernard Scott, 2019

 

The aim of this article is to show how sociocybernetics can clarify and bring order to two key concepts in the social sciences: ‘observation’ and ‘reflexivity’. The article provides an introduction and conceptual overview of second order cybernetics, placing it in the larger context of cybernetics and systems sciences studies. Since its inception, in cybernetics the role of the observer has been paramount. It is the observer who distinguishes systems of interest. It is the observer who communicates her observations and theoretical interpretations to the wider community of other observers. Critically, as Heinz von Foerster emphasises, with second order cybernetics the observer, since she is herself an observing system, should ‘enter the domain of her own descriptions’. With her second order studies, she is explaining herself to herself. Reflexively, she is obliged to engage in self-observation. The article sets out some of the theoretical and methodological implications of these propositions.

On Becoming a Cybernetician: Highlights and Milestones: World Futures: Vol 75, No 1-2 – Bernard Scott, March 2019

 

Source: On Becoming a Cybernetician: Highlights and Milestones: World Futures: Vol 75, No 1-2

 

On Becoming a Cybernetician: Highlights and Milestones

Pages 101-112
Published online: 26 Mar 2019

In this article, I describe how I encountered cybernetics and how it became an important part of my life. I begin with an account of my time at Brunel University and also describe how I came to work with Gordon Pask, one of the few intellectuals and researchers in the UK who styled themselves as cyberneticians. To enrich my story, I include an overview of the story of cybernetics as I perceive it. Given the importance I attach to cybernetics as an intellectual tool, I end with a plea for it to be included in all educational curricula.

INTRODUCTION: ENCOUNTERING CYBERNETICS1

Between 1964 and 1968 I was an undergraduate at Brunel University, studying psychology. I was on a ‘sandwich course’, meaning that periods of study were interspersed with work placements with different kinds of organization. In my first two years of study, I accrued very mixed feelings about psychology as a scientific discipline. Only the behaviorists claimed to be fully scientific. The rest of the discipline appeared to be a ragbag of disparate topics, studied and theorized about in a wide variety of ways. The curriculum consisted of courses of lectures on largely unrelated topics: learning theory, perception, social psychology, individual differences, psychopathology, organizational psychology, and developmental psychology. The curriculum also included some lectures on sociology and social anthropology, taught as separate subjects. There was an early superficial mention of cybernetics in the lectures on learning theory but nothing substantial was covered. I was an indifferent and poorly motivated student in the midst of what I saw as a mess of a discipline, in which my teachers, espousing different paradigms, were incapable of constructive conversation with one another. It was cybernetics that eventually enabled me to make sense of this mess and inspired me to become an enthusiastic scholar.

In 1966, I had the good fortune to attend a course of lectures on cybernetics given by David Stewart, a newly appointed lecturer in the Department of Psychology. I had previously read W. Gray Walter’s (1963Walter, W. G. (1963). The Living Brain. New York, NY: Norton & Co. [Google Scholar]) The Living Brain and Wladyslaw Sluckin’s (1954Sluckin, W. (1954). Minds and machines. Harmondsworth, UK: Penguin Books. [Google Scholar]) Minds and Machines. Both helped me appreciate the larger philosophical tradition in which problems of mind and body, freewill and determinism have been debated. I recall that Sluckin reported on developments in cybernetics and related disciplines but was not committed to cybernetics as a unifying, “transdiscipline.” David Stewart’s stimulating presentations helped me be aware of that possibility. I was attracted to the thesis that cybernetics is a transdiscipline. It made sense that there should be unity in diversity. It made sense that there should be a discipline as important and as general as physics but one which was complementary to it. I grasped this as the aphorism “Physics is about matter and energy; cybernetics is about control and communication.” Later, I came across a similar distinction in the writings of Gregory Bateson (1972Bateson, G. (1972). Steps to an Ecology of Mind. New York, NY: Paladin. [Google Scholar]), who used the terms ‘pleroma’ and ‘creatura’ from C. G. Jung’s Septem Sermones ad Mortuos (http://gnosis.org/library/7Sermons.htm, accessed 10/03/2019) which have origins in gnostic, hermetic traditions. Pleroma refers to the ‘stuff’ of the world as formless content. Creatura is the world of the distinctions made by observers.

I began to see how cybernetic concepts could provide explanations of psychological processes in far more sophisticated ways than those offered by the behaviorists. Thanks to David Stewart, I had the opportunity to work with the UK cybernetician, Gordon Pask. At that time, Pask was Research Director of an independent, nonprofit research organization in Richmond, Surrey: System Research Ltd. I had a 6 months’ work placement there as a research assistant. Pask was the most obviously intellectually brilliant person I have ever met. I was awed just to be in his presence. I obtained a preprint of Pask’s most recent paper and studied it in detail (Pask, 1966Pask, G. (1966). A cybernetic model for some types of learning and mentation. In Oestreicher, H. C. & Moore, D. R., (Eds.), Cybernetic problems in bionics (pp. 531–585). New York: Gordon and Breach. [Google Scholar]). To make sense of it, I spent many hours looking up his references and reading his earlier papers. From this reading, I gained what had eluded me thus far: an overarching, satisfying conceptual framework which allowed me to make sense of the biological, the psychological and the social in a coherent and enlightening way. I was becoming a cybernetician.

Eventually, I read W. Ross Ashby’s (1956Ashby, W. R. (1956). An introduction to cybernetics. London: Chapman and Hall.[Crossref] , [Google Scholar]) Introduction to Cybernetics. I think all of us who love cybernetics have drawn inspiration from Ashby’s bold declaration that “The truths of cybernetics are not conditional on their being derived from some other branch of science. Cybernetics has its own foundations” (p.1). He goes on, “Cybernetics ……takes as its subject-matter the domain of ‘all possible machines’” (p. 2). This is followed by “Cybernetics, might, in fact, be defined as the study of systems that are open to energy but closed to information and control – systems that are ‘information-tight’” (p. 4). Here Ashby is reflecting cybernetics’ primary concern with circular causality and anticipating later emphases on organizational closure.

Ashby highlights two primary uses of cybernetics: “It offers a single vocabulary and a single set of concepts for representing the most diverse types of systems” and “It offers a method for the scientific treatment of the system in which complexity is outstanding and too important to be ignored” (pp. 4-5). There are perhaps those who would disagree with Ashby’s claim that cybernetics provides “a single vocabulary and a single set of concepts” pointing to the enormous proliferation of specialist vocabularies and conceptual schema within the cybernetics and “systems thinking” areas. However, I suggest that in this variety, there is enormous consensus and that there is an underlying structure of primary concepts and distinctions that makes cybernetics what it is, much of which is captured in Ashby’s formal approach. In 1995, I attended an international multidisciplinary conference, entitled Einstein meets Magritte, and witnessed much difficulty, even distress, as physicists, philosophers, artists and humanists attempted to communicate with each other about a range of issues, many of global concern. Within the larger conference there was a symposium, convened by Francis Heylighen, on The Evolution of Complexity, with fifty or so participants, including management scientists, biologists, systems scientists, psychologists, neuroscientists, sociologists, engineers, computer scientists and physicists. The remarkable thing about this symposium, in contrast to the main conference, was that there was much effective interdisciplinary communication. This was because all the participants did have some grounding in concepts to do with complex systems and cybernetics. Indeed, many of the participants drew directly on Ashby, himself. Thus was the master vindicated.

Further reading persuaded me not only of the value of cybernetics as a unifying transdiscipline but also that cyberneticians were not naive or trivial in their epistemologies, that there was a deep sense of metadisciplinary self-awareness in their shared enterprise. I learned that there was an informal collegiate that included, amongst others, Gregory Bateson, Warren McCulloch, Heinz von Foerster, Gordon Pask, Stafford Beer and Humberto Maturana. There appeared to be a tacit understanding that, whatever their differences, they all had a reflexive sense of responsibility for their being in the world and were united in their commitment to a common good.

The concerns with the epistemology of the observer were made explicit in a coming together of ideas in the late 1960s and early 1970s. I have alluded to some of these events in more detail elsewhere (Scott, 1996Scott, B. (1996). Second-order cybernetics as cognitive methodology. Systems Research, 13(3), 393–406.[Crossref] , [Google Scholar]). What I have in mind are Spencer-Brown’s (1969Spencer-Brown, G. (1969). The laws of form. London, UK: Allen and Unwin. [Google Scholar]) emphasis on the primacy of the act of distinction; Gordon Pask’s articulation of a cybernetic theory of conversations (Pask, 1975Pask, G. (1975). Conversation, Cognition and Learning. New York, NY: Elsevier. [Google Scholar]); Gunther’s (1971Gunther, G. (1971). Life as polycontexturality. In Collected works of the biological computer laboratory. Peoria, IL: Illinois Blueprint Corporation. [Google Scholar]) concept of life as polycontexturality: the intersection of observers’ perspectives, including perspectives of others’ perspectives; von Foerster’s distinction between a first order cybernetics, the study of observed systems, and a second order cybernetics, the study of observing systems (von Foerster et al., 1974Von Foerster, H., Abramovitz, R., Allen, R. B. et al. (eds.) (1974). Cybernetics of cybernetics, BCL Report 73.38, Biological computer laboratory, department of electrical engineering, Urbana, IL: University of Illinois. [Google Scholar], p. 1); Maturana’s (1970Maturana, H. R. (1970). Neurophysiology of cognition. In Garvin, P. (Ed). Cognition: A multiple view (pp. 3–23). New York, NY: Spartan Books. [Google Scholar]) arguments for the closure of the cognitive domain based on an account of the operational closure of the nervous system.

In 1972, Oliver Wells, editor of the cybernetics newsletter, Artorga2, convened the world’s first conference on self-referential systems, in London. The participants were Gotthard Gunther, Gordon Pask, Humberto Maturana, Dionysius Kallikourdis and myself. Heinz von Foerster was unable to attend. I was fortunate to meet him, later that year, when he visited Pask’s laboratory at System Research Ltd., where, following graduation, I had been invited back to work as a research assistant, and at Brunel University, where I was a postgraduate student in cybernetics.

I understood from Ashby (1956Ashby, W. R. (1956). An introduction to cybernetics. London: Chapman and Hall.[Crossref] , [Google Scholar]) that the abstract principles, concepts and laws of cybernetics can be applied to any category of system. From Pask, Stafford Beer, and Frank George and others, I understood the role of models and analogies in cybernetics. I saw the power to be found in formal concepts and therefore studied set theory, formal logic and the theory of computation. I acquired new distinctions and new terminology: hierarchy and heterarchy; object language and metalanguage; programing and meta-programing; process and product; serial, parallel and concurrent processes; circularity and recursion; self-organization and autopoiesis; variety and information; structure and organization … and more.

As a transdiscipline, cybernetics empowered me to cross disciplinary boundaries. This was exhilarating. I also understood other transdisciplines (systems theory, Alfred Korzybski’s general semantics, synergetics) to be quite cognate with cybernetics and, at a high enough level of abstraction, homomorphic if not isomorphic with it.

I see all ‘versions’ of cybernetics as having a core commonality. It is a truism that every scholar or practitioner will have her own narrative and ways of doing things and that these may be undergoing changes with experience and further study and reflection. What I detect with cybernetics is a commonality that evolved amongst a community of scholars, where differences in emphasis, terminology and areas of interest and practice mask underlying agreements and similarities of form.

I was inspired, eventually, to regard myself as being a cybernetician. Louis Couffignal (1960Couffignal, L. (1960). Essai d’une definition generale de la Cybernetique, Proceedings of the Second Congress of the International Association for Cybernetics, Paris, France: Gauthier-Villars. [Google Scholar]) defines cybernetics as “the art of assuring the efficacy of action.” Heinz von Foerster states that “Life cannot be studied in vitro, one has to explore it in vivo.” (von Foerster 2003Von Foerster, H. (2003). Understanding understanding: Essays on cybernetics and cognition. Berlin, Germany: Springer-Verlag.[Crossref] , [Google Scholar], p. 248) and “At any moment we are free to act towards the future you desire” (von Foerster 2003Von Foerster, H. (2003). Understanding understanding: Essays on cybernetics and cognition. Berlin, Germany: Springer-Verlag.[Crossref] , [Google Scholar], p. 206). I took these ideas to heart. There was a coming together of my professional life as a research student and my personal life, which had previously been lived in separate compartments. I became reflexively aware that I was living my theories and my lived experiences were helping my theorizing.

My 20 s and 30 s, as for many in the 1960s and 1970s, were an intense period of intellectual and personal exploration in which I was sustained, sometimes tenuously, by the faith in God that I had acquired as a child and my deepening understanding and appreciation of cybernetics. I read widely, acquainting myself with Western philosophy, world history, including the history of science and mathematics, and, in a somewhat haphazard way with the teachings of various faiths (‘great’ and esoteric) and writings about the ‘occult’ and shamanism.

In those years, second-order cybernetics was a touchstone that provided rational grounding. With its help, together with the insights of Ludwig Wittgenstein (1953Wittgenstein, L. L. (1953). Philosophical Investigations. Oxford, UK: Basil Blackwell. [Google Scholar]), in particular his meta-linguistic comments about language and philosophy, I escaped from becoming enmeshed in the conceptual and terminological morass of what is frequently referred to as ‘continental philosophy’. Cybernetics helped me see through the tricks and power plays of intellectual ‘gamesters’. Second-order cybernetics tells us that anything said is said by or to an observer. This gives a pragmatic immediacy to what is being said and what is the intention of the communicator. I became a cybernetic shaman, a child of the living God, someone who aspires to know the true and the good. I was particularly inspired by the writings of Lao Tsu and Confucius and their followers. At heart, I remained a Christian. In 1979, while training to be a schoolteacher, I summed up much of my thinking and practice in a brief essay, “Morality and the cybernetics of moral development” (Scott, 1983Scott, B. (2016). Cybernetic foundations for psychology. Constructivist Foundations, 11(3), 509–517.[Web of Science ®] , [Google Scholar]).

Not everyone who studies cybernetics becomes a cybernetician who studies ‘the cybernetics of cybernetics’. There are many scholars of cybernetics who look on only from their main area of practice and position themselves in the first instance as being historians, philosophers, architects, biologists, sociologists, psychologists and so on. In doing so, I believe they miss the point, the sense of what it is to be a cybernetician and a member of the cybernetics community. A recent example is Andrew Pickering, author of The Cybernetic Brain, whose self-imposed positioning as a philosopher and historian mars what in many ways is an admirable text. I have in mind his perfunctory, somewhat derogatory treatment of second order cybernetics in general and of Pask’s conversation theory in particular. I have similar reservations about the recent biography of Warren McCulloch by Tara Abraham, Rebel Genius, in which the author seems to see McCulloch’s enthusiasm for cybernetics as a transdiscipline to be self-aggrandizing and self-deceiving.3 I, myself, share McCulloch’s enthusiasm. The invention and creation of a new transdiscipline concerned with control and communication, cybernetics, is itself a great cybernetic achievement.

THE STORY OF CYBERNETICS

To make sense of my reminiscences, I feel I am obliged to provide some more details of my understandings of the history of cybernetics. I am not aware of any single text that gives a clear and inclusive account of the origins, early years and key later events concerning cybernetics. Here, I give a very brief summary.

The story has several possible beginnings. One common starting point is the publication, in 1943, of the paper “Behavior, purpose and teleology” by Arturo Rosenblueth, Norbert Wiener and Juliann Bigelow (Rosenblueth, Wiener, & Bigelow, 1943Rosenblueth, A., Wiener, N., & Bigelow, J. (1943). Behavior, purpose and teleology. Philosophy of Science, 10(1), 18–24. doi:10.1086/286788[Crossref] , [Google Scholar]) and associated discussions that lead up to the Macy conferences on “feedback and circular causality in biological and social systems” convened by Warren McCulloch and held between 1946 and 19534. The paper proposed that the goal-seeking behavior that could be built into mechanical systems and the goal-seeking observed in biological and psychological systems have a similar form: they are structured so that signals about achieved outcomes are “fed back” to modify inputs so that, in due course, a prescribed goal is achieved (a cup is picked up) or a desired state of affairs (the temperature of a room or of a living body) is maintained. This process is referred to as “circular causality.” It was recognized at an early stage that many fields of study contain examples of these processes and that there was value in coming together in multidisciplinary fora to shed light on them, to learn from each other and to develop shared ways of talking about these phenomena. In 1948, Norbert Wiener, one of the participants, wrote a book (Wiener, 1948Wiener, N. (1948). Cybernetics. Cambridge, MA: MIT Press. [Google Scholar]) that set out these ideas in a formal way that collected together many of the emerging shared conceptions and did so in a coherent way that not only facilitated interdisciplinary exchanges but also stood as a discipline in its own right: an abstract transdiscipline – the study of “control and communication in the animal and the machine.” Wiener called this new discipline “cybernetics.” Following the book’s publication, the Macy conference participants referred to their conferences as conferences on cybernetics, keeping “feedback and circular causality in biological and social systems” as the subtitle.

As the subtitle emphasizes, there was an interest in biological and social systems. The participants were interested not only in particular mechanisms, they also looked for the general forms to be found in the dynamics and organization of complex systems (living systems, small groups and communities, cultures and societies): how they emerge and develop, how they maintain themselves as stable wholes, how they evolve and adapt in changing circumstances.

In the years following the Macy conferences, cybernetics flourished and its ideas were taken in many disciplines. Cyberneticians also found common ground with the followers of Ludwig von Bertalanffy, who were developing a general theory of systems.

By the 1970s, cybernetics, as a distinct discipline, had become marginalized. A number of reasons have been suggested for this. I believe two are particularly pertinent. The first is that, at heart, most scientists are specialists. Having taken from cybernetics what they found valuable, they concentrated on their own interests. Second, in the USA, funding for research in cybernetics became channeled towards research with more obvious relevance for military applications, notably research in artificial intelligence. Attempts to develop coherent university-based research programs in cybernetics, with attendant graduate level courses, were short-lived. However, some developments in the field that occurred in the late 1960s and early 1970s are particularly pertinent for the theme of this article.

First, it is useful to note that the early cyberneticians were sophisticated in their understanding of the role of the observer. In the terminology of Heinz von Foerster, their concerns were both first-order (with observed systems) and second-order (with observing systems). It is the observer who distinguishes a system, who selects the variables of interest and decides how to measure them. For complex, self-organizing systems this poses some particular challenges. Gordon Pask (1960Pask, G. (1960). The natural history of networks. In M. C. Yovits& S. Cameron (Eds.), Self-organizing systems (pp. 232–261). London, UK: Pergamon Press. [Google Scholar]) spells this out particularly clearly. Even though such a system is, by definition, state-determined, its behavior is unpredictable: it cannot be captured as trajectory in a phase space. The observer is required to update his reference frame continually and does so by becoming a participant observer. Pask cites the role of a natural historian as an exemplar of what it means to be a participant observer. A natural historian interacts with the system he observes, looking for regularities in those interactions. Pask goes as far as likening the observer’s interaction with the system to that of having a conversation with the system. This insight was the seed for Pask’s development of a cybernetic theory of conversations.

Second, the early cyberneticians had the reflexive awareness that in studying self-organizing systems, they were studying themselves, as individuals and as a community. Von Foerster (1960Von Foerster, H. (1960). On self-organising systems and their environments. In M. C. Yovits and S. Cameron (Eds.), Self-organising systems. London, UK: Pergamon Press. [Google Scholar]) makes this point almost as an aside. He notes: “[W]hen we […] consider ourselves to be self-organizing systems [we] may insist that introspection does not permit us to decide whether the world as we see it is ‘real,’ or just a phantasmagory, a dream, an illusion of our fancy” (von Foerster, 2003Von Foerster, H. (2003). Understanding understanding: Essays on cybernetics and cognition. Berlin, Germany: Springer-Verlag.[Crossref] , [Google Scholar], p.3f). Von Foerster escapes from solipsism by asserting that an observer who distinguishes other selves must concede that, as selves, they are capable of distinguishing her. ‘Reality’ exists as the shared reference frame of two or more observers. In later papers5, with elegant, succinct formalisms, von Foerster shows how, through its circular causal interactions with its environmental niche and the regularities (invariances) that it encounters, an organism comes to construct its reality as a set of ‘objects’ and ‘events,’ with itself as its own ‘ultimate object.’ He goes on to show how two such organisms may construe each other as fellow ‘ultimate objects’ and engage in communication as members of a community of observers. Von Foerster referred to this second order domain as the ‘cybernetics of cybernetics.’

It should be mentioned that others had been thinking along somewhat similar lines to those of Pask and von Foerster. Maturana (1970Maturana, H. R. (1970). Neurophysiology of cognition. In Garvin, P. (Ed). Cognition: A multiple view (pp. 3–23). New York, NY: Spartan Books. [Google Scholar]) frames his thesis about the operational closure of the nervous system with an epistemological metacommentary about what this implies for the observer, who, as a biological system inhabiting a social milieu, has just such a nervous system. The closure of the nervous system makes clear that ‘reality’ for the observer is a construction consequent upon his interactions with her environmental niche (Maturana uses the term ‘structural coupling’ for these interactions). In other words, there is no direct access to an ‘external reality.’ Each observer lives in her own universe. It is by consensus and coordinated behavior that a shared world is brought forth.

In later writings (some written in collaboration with Francisco Varela), Maturana uses the term ‘autopoiesis’ (Greek for self-creation) to refer to what he sees as the defining feature of living systems: the moment by moment reproduction of themselves as systems that, whatever else they do (adapt, learn, evolve), must reproduce themselves as systems that reproduce themselves. In explicating his theory of autopoiesis, Maturana makes an important distinction: the distinction between the ‘structure’ of a system and the ‘organization’ of a system. A system’s structure is the configuration of its parts at a given moment in time, a snapshot picture of the system’s state. The organization of a system is the set of processes that are reproduced by circular causality such that the system continues to exist as an autopoietic unity. In general, a system with this ‘circular causal’ property is said to be ‘organizationally closed’ (Maturana & Varela, 1980Maturana, H. R., & Varela, F. J. (1980). Autopoiesis and cognition. Dordrecht, The Netherlands: Springer.[Crossref] , [Google Scholar]).

THE WORK OF MY MENTOR, GORDON PASK

Although much of what von Foerster and Maturana have to say is pertinent to humans, arguably it is Pask, the psychologist, who has given us the most comprehensive observer-based cybernetic theory of human cognition and communication. From the earliest stages of his thinking, he was aware that the human self develops and evolves in a social context and that ‘consciousness’ (Latin con-scio, with + know) is about both knowing with oneself and knowing with others. Throughout his writings, from the 1960s onwards there is an acknowledgement by Pask of his indebtedness to the Russian psychologist Lev Vygotsky, who argued that, as a child develops, what begins as external speech eventually becomes internalized as an inner dialog (Vygotsky, 1962Vygotsky, L. S. (1962). Thought and language. Cambridge MA: MIT Press.[Crossref] , [Google Scholar]).

Central in Pask’s research activity was the design of ‘teaching machines’ and ‘learning environments’ that interact with a learner, in a conversational manner, and adapt to the learner’s progress so as to facilitate her learning. Pask makes a distinction between a cognitive system and the ‘fabric’ or ‘medium’ that embodies it. This distinction is analogous to the distinction between programs and the computer in which they run. However, unlike the cognitivist science community, where the analogy is the basis of the thesis that both brains and computers are ‘physical symbol systems’, Pask is aware that this interpretation of what is a symbol is conceptually naive. He stresses how important it is to take account of the differences between brain/body systems and computing machinery. Brain/body systems are autopoietic systems, whose structure is constantly changing, whereas the structures of computers are designed to be stable. In Pask’s terms, there is an interaction between a cognitive system and its embodiment. A change in the structure of the brain/body system affects cognition. Changes in thinking affect the structure of the brain/body system. It is important to note that Pask’s distinction is an analytic distinction, not an ontological one. It affords a way of talking about organizationally closed ‘psychosocial’ systems distinct from brain/body systems and provides psychology and other social sciences with a coherent conceptual framework.6

DARKNESS AND LIGHTS

Pask, Maturana, Gunther, von Foerster, and other cyberneticians met regularly, often at von Foerster’s Biological Computer Laboratory at the University of Illinois, at Pask’s System Research Ltd. And at academic conferences. I witnessed the ways and incidents by which, over time, cybernetics was marginalized. I saw the courage and nobility with which the cyberneticians maintained their views and convictions in the face of the criticisms that they were old fashioned, misguided and defunct in the brave new world of artificial intelligence research and the emergent field of ‘cognitive science.’ In the sister transdiscipline, general systems theory (now referred to as ‘systems science’), cybernetics was often seen as a mere specialist subdiscipline concerned with control theory. From the 1980s onwards, the ‘new’ sciences of complexity, systems dynamics, and artificial life arose, with a new generation of scholars largely ignorant of the intellectual roots of those sciences in cybernetics. In cognitive science (psychology, philosophy of mind, robotics), there was an increasing interest in the biology of cognition and ‘enactivism,’ again, with little awareness of the sources of those ideas.

The lights in this darkness have been several. Notably there has been an ongoing interest in second order cybernetics, as seen in the journals Cybernetics and Human Knowing and Kybernetes. I do not have space to do more than mention some of the key players whom I see as the second generation of cyberneticians (I became good friends with many): Stuart Umpleby, Ranulph Glanville, Paul Pangaro, Soeren Brier, Albert Mueller, Karl Mueller, Phillip Guddemi, Randall Whitaker. I should also like to draw attention to the achievements of the learned societies that have worked to keep cybernetics alive and well: the UK Cybernetics Society, the American Society for Cybernetics and Research Committee 51 (on Sociocybernetics) of the International Sociological Association.

CONCLUDING COMMENTS

As an undergraduate, encountering cybernetics transformed my approach to studying and understanding psychology. It gave psychology a conceptual coherence that, previously, I had found lacking. In later years, as my understanding of cybernetics deepened, I continued to use second order cybernetics as a foundation and framework for my work as an experimental psychologist (summarised in Scott, 1993Scott, B. (1993). Working with Gordon: Developing and applying conversation theory (1968–1978). Systems Research, 10(3), 167–182.[Crossref] , [Google Scholar]) and my later work as a practitioner in educational psychology (Scott, 1987Scott, B. (1983). Morality and the cybernetics of moral development. International Cybernetics Newsletter, 26, 520–530. [Google Scholar]) and in educational technology (Scott 2001Scott, B. (2001). Conversation theory: A dialogic, constructivist approach to educational technology. Cybernetics and Human Knowing, 8(4), 25–46. [Google Scholar]). The transdisciplinary and metadisciplinary nature of second order cybernetics empowered me to read widely in other disciplines.7 I learned from von Foerster that “Social cybernetics must be a second-order cybernetics – a cybernetics of cybernetics – in order that the observer who enters the system shall be allowed to stipulate his own purpose […] [I]f we fail to do so, we shall provide the excuses for those who want to transfer the responsibility for their own actions to somebody else” (von Foerster, 2003Von Foerster, H. (2003). Understanding understanding: Essays on cybernetics and cognition. Berlin, Germany: Springer-Verlag.[Crossref] , [Google Scholar], p. 286).

After some fifty years of involvement with cybernetics, I am more than ever persuaded of its value for making sense of the world and as an aid for self-steering. Ashby’s Law of Requisite Variety (“Only variety can destroy variety”) makes clear in the simplest terms that if a system is to survive in a changing environment it must manage the variety that it faces. It must learn to identify and minimize unnecessary constraints on its actions and at the same time it must act so as to maximize (increase the variety of) its choices. For humans this applies not only to the first order variety to be found in our environmental niches but also to the second order bewildering ‘wicked’8 complexity of variety to be found in our belief systems and in our perceptions and meta-perceptions of each other. I have written about these issues elsewhere (Scott, 2012Scott, B. (2011b). Education for cybernetic enlightenment. Cybernetics and Human Knowing, 21(1–2), 199–205. [Google Scholar]). Here I just wish to emphasize the need for what I refer to as ‘education for cybernetic enlightenment.’ I have outlined the curriculum for such an education in Scott (2011bScott, B. (2011a). Explorations in Second-Order cybernetics: Reflections on cybernetics, psychology and education. Vienna, Austria: Edition echoraum. [Google Scholar]).

Discussions about how best to place cybernetics within educational curricula have been going on since shortly after its inception. The (now defunct) Department of Cybernetics at Brunel University where I studied for my PhD had postgraduate students only, arguing that one needed to have a strong disciplinary base before embarking on transdisciplinary studies. I myself am a supporter of Jerome Bruner’s concept of the ‘spiral curriculum’: “A curriculum as it develops should revisit the basic ideas repeatedly, building upon them until the student has grasped the full formal apparatus that goes with them” (Bruner, 1960Bruner, J. S. (1960). The process of education. Harvard: Harvard University Press. [Google Scholar], p.13); “We begin with the hypothesis that any subject can be taught effectively in some intellectually honest form to any child at any stage of development.” (ibid, p.33). It makes sense to me – and I hope to the reader – that cybernetic understandings of educational processes should be used to help educate for cybernetic enlightenment. I also believe that cybernetic understandings of the human condition reveal how vital it is that those same understandings are promulgated, not just in formal educational settings but universally, as part of the ‘global conversation’.

Notes

1 In writing this article I have adapted some passages from earlier papers in which I have discussed my involvement with cybernetics. See Scott (1993Scott, B. (1993). Working with Gordon: Developing and applying conversation theory (1968–1978). Systems Research, 10(3), 167–182.[Crossref] , [Google Scholar], 1996Scott, B. (1996). Second-order cybernetics as cognitive methodology. Systems Research, 13(3), 393–406.[Crossref] , [Google Scholar], 2004Scott, B. (2004). Second order cybernetics: an historical introduction. Kybernetes, 33(9/10), 1365–1378. doi:10.1108/03684920410556007[Crossref], [Web of Science ®] , [Google Scholar], 2016Scott, B. (2012). Using the logic of life to reduce the complexity of life. Cybernetics and Human Knowing, 19(3), 93–104. [Google Scholar]). The first three are available as separate chapters in Scott (2011aScott, B. (2011a). Explorations in Second-Order cybernetics: Reflections on cybernetics, psychology and education. Vienna, Austria: Edition echoraum. [Google Scholar]).

2 There is an archive of 32 issues of Artorga here: https://wellcomelibrary.org/item/b20219490#?c=0&m=0&s=0&cv=0&z=-0.1422%2C-0.0403%2C1.2843%2C0.8068 (accessed 21/07/2017). Many issues contain preprints of articles by renowned early cyberneticians. Pask was a subscriber, so I had the opportunity to read them.

3 Oddly, Abraham’s account of McCulloch’s life includes little of his activities as a cybernetician amongst fellow cyberneticians. There is no mention of his significant encounters with Heinz von Foerster, Stafford Beer and Gordon Pask and his achievements in obtaining funding for cybernetics related research. See McCulloch (1965McCulloch, W. S. (1965). Embodiments of mind. Cambridge, MA: MIT Press. [Google Scholar]).

4 The proceedings of the later Macy Coferences were published. The editors’ introduction gives an interesting account of the origins and precursors of cybernetics. See Von Foerster, Mead and Teuber (1953Von Foerster, H., Mead, M., & Teuber, H. L. (1953). Editors’ Introduction to cybernetics: Circular causal and feedback mechanisms in biological and social systems. New York, NY: Josiah Macy, Jr Foundation. [Google Scholar]).

5 Many of these papers are to be found in von Foerster (2003Von Foerster, H. (2003). Understanding understanding: Essays on cybernetics and cognition. Berlin, Germany: Springer-Verlag.[Crossref] , [Google Scholar]).

6 For more on this theme, see Scott (2016Scott, B. (2012). Using the logic of life to reduce the complexity of life. Cybernetics and Human Knowing, 19(3), 93–104. [Google Scholar]).

7 A propos of this, the developmental psychologist, Jean Piaget (1977Piaget, J. (1977). Psychology and Epistemology. Harmondsworth, UK: Penguin.[Crossref] , [Google Scholar], p. 136) writes, “Thus cybernetics is now the most polyvalent meeting place for physicomathematical sciences, biological sciences, and human sciences.”

8 I refer here to ‘wicked problems’, defined as those that are difficult or impossible to solve because of incomplete, contradictory, and changing requirements that are often difficult to recognize. The use of the term ‘wicked’ here has come to denote resistance to resolution, rather than evil. See https://en.wikipedia.org/wiki/Wicked_problem(accessed 19/07/2017).

References

  • Ashby, W. R. (1956). An introduction to cybernetics. London: Chapman and Hall.
  • Bateson, G. (1972). Steps to an Ecology of Mind. New York, NY: Paladin.
  • Bruner, J. S. (1960). The process of education. Harvard: Harvard University Press.
  • Couffignal, L. (1960). Essai d’une definition generale de la Cybernetique, Proceedings of the Second Congress of the International Association for Cybernetics, Paris, France: Gauthier-Villars.
  • Gunther, G. (1971). Life as polycontexturality. In Collected works of the biological computer laboratory. Peoria, IL: Illinois Blueprint Corporation.
  • Maturana, H. R. (1970). Neurophysiology of cognition. In Garvin, P. (Ed). Cognition: A multiple view (pp. 3–23). New York, NY: Spartan Books.
  • Maturana, H. R., & Varela, F. J. (1980). Autopoiesis and cognition. Dordrecht, The Netherlands: Springer.
  • McCulloch, W. S. (1965). Embodiments of mind. Cambridge, MA: MIT Press.
  • Pask, G. (1960). The natural history of networks. In M. C. Yovits & S. Cameron (Eds.), Self-organizing systems (pp. 232–261). London, UK: Pergamon Press.
  • Pask, G. (1966). A cybernetic model for some types of learning and mentation. In Oestreicher, H. C. & Moore, D. R., (Eds.), Cybernetic problems in bionics (pp. 531–585). New York: Gordon and Breach.
  • Pask, G. (1975). Conversation, Cognition and Learning. New York, NY: Elsevier.
  • Piaget, J. (1977). Psychology and Epistemology. Harmondsworth, UK: Penguin.
  • Rosenblueth, A., Wiener, N., & Bigelow, J. (1943). Behavior, purpose and teleology. Philosophy of Science, 10(1), 18–24. doi:10.1086/286788
  • Scott, B. (1993). Working with Gordon: Developing and applying conversation theory (1968–1978). Systems Research, 10(3), 167–182.
  • Scott, B. (1996). Second-order cybernetics as cognitive methodology. Systems Research, 13(3), 393–406.
  • Scott, B. (2001). Conversation theory: A dialogic, constructivist approach to educational technology. Cybernetics and Human Knowing, 8(4), 25–46.
  • Scott, B. (2016). Cybernetic foundations for psychology. Constructivist Foundations, 11(3), 509–517.
  • Scott, B. (1987). Human systems, communication and educational psychology. Educational Psychology in Practice, 3(2), 4–15. doi:10.1080/0266736870030203
  • Scott, B. (1983). Morality and the cybernetics of moral development. International Cybernetics Newsletter, 26, 520–530.
  • Scott, B. (2004). Second order cybernetics: an historical introduction. Kybernetes, 33(9/10), 1365–1378. doi:10.1108/03684920410556007
  • Scott, B. (2007). The cybernetics of Gordon Pask. In R. Glanville and K. H. Müller (Eds.). Gordon pask, philosopher mechanic: An introduction to the cybernetician’s cybernetician. Vienna, Austria: WISDOM.
  • Scott, B. (2011a). Explorations in Second-Order cybernetics: Reflections on cybernetics, psychology and education. Vienna, Austria: Edition echoraum.
  • Scott, B. (2011b). Education for cybernetic enlightenment. Cybernetics and Human Knowing, 21(1–2), 199–205.
  • Scott, B. (2012). Using the logic of life to reduce the complexity of life. Cybernetics and Human Knowing, 19(3), 93–104.
  • Sluckin, W. (1954). Minds and machines. Harmondsworth, UK: Penguin Books.
  • Spencer-Brown, G. (1969). The laws of form. London, UK: Allen and Unwin.
  • Von Foerster, H. (1960). On self-organising systems and their environments. In M. C. Yovitsand S. Cameron (Eds.), Self-organising systems. London, UK: Pergamon Press.
  • Von Foerster, H. (2003). Understanding understanding: Essays on cybernetics and cognition. Berlin, Germany: Springer-Verlag.
  • Von Foerster, H., Mead, M., & Teuber, H. L. (1953). Editors’ Introduction to cybernetics: Circular causal and feedback mechanisms in biological and social systems. New York, NY: Josiah Macy, Jr Foundation.
  • Von Foerster, H., Abramovitz, R., Allen, R. B. et al. (eds.) (1974). Cybernetics of cybernetics, BCL Report 73.38, Biological computer laboratory, department of electrical engineering, Urbana, IL: University of Illinois.
  • Vygotsky, L. S. (1962). Thought and language. Cambridge MA: MIT Press.
  • Walter, W. G. (1963). The Living Brain. New York, NY: Norton & Co.
  • Wiener, N. (1948). Cybernetics. Cambridge, MA: MIT Press.
  • Wittgenstein, L. L. (1953). Philosophical Investigations. Oxford, UK: Basil Blackwell.

Recursivity and Contingency | Yuk Hui – Academia.edu 

Preface available for download

 

Source: (99+) (PDF) Recursivity and Contingency | Yuk Hui – Academia.edu

 

Recursivity and Contingency
2019
Yuk Hui
Yuk Hui

Cybernetics in Late Soviet Culture: • Kultur • Osteuropa-Institut, Freie Universitat Berlin, 17 June 2019

Not much detail yet!

 

Source: Cybernetics in Late Soviet Culture: • Kultur • Osteuropa-Institut

Cybernetics in Late Soviet Culture:

17.06.2019

Workshop: Cybernetics in Late Soviet Culture

News vom 10.04.2019

The discourse on cybernetics is one of the most inspiring and thought-provoking intellectual currents in post-war science. As a truly interdisciplinary approach linking physics, psychology, computer science, sociology, philosophy and many disciplines more, its influence is topical in current epistemological understandings of “systemic” thinking. Although the history of cybernetics has been studied for the Western and Latin American context, cybernetics in the East European context has been brought to our fore only to some extent. Our workshop on June 17th aims to address cybernetics from an interdisciplinary point of view, linking historical and philosophical approaches with insights from literary and cultural studies. It is centered on the period from the early 1950s to the late 1970s and wants to draw attention to the peculiarities of Soviet and Socialist cybernetic thinking.

Programme and speakers t.b.a.

Killer robots are not science fiction – they have been part of military defence for a while | The Independent

 

Source: Killer robots are not science fiction – they have been part of military defence for a while | The Independent

 

Killer robots are not science fiction – they have been part of military defence for a while

They are just one of the fears with developing technology, but such bots have been here for much longer than you think, writes Mike Ryder

Killer robots may seem new, but they've been around for a long time
Killer robots may seem new, but they’ve been around for a long time ( Getty/iStock )

Humans will always make the final decision on whether armed robots can shoot, according to a statement by the US Department of Defence. Their clarification comes amid fears about a new advanced targeting system, known as Atlas, that will use artificial intelligencein combat vehicles to target and execute threats. While the public may feel uneasy about so-called “killer robots”, the concept is nothing new – machine-gun wielding “Swords” robots were deployed in Iraq as early as 2007.

Our relationship with military robots goes back even further than that. This is because when people say “robot”, they can mean any technology with some form of autonomous element that allows it to perform a task without the need for direct human intervention.

These technologies have existed for a very long time. During the Second World War, the proximity fuse was developed to explode artillery shells at a predetermined distance from their target. This made the shells far more effective than they would otherwise have been by augmenting human decision making and, in some cases, taking the human out of the loop completely.

So the question is not so much whether we should use autonomous weapon systems in battle – we already use them, and they take many forms. Rather, we should focus on how we use them, why we use them, and what form – if any – human intervention should take.

The birth of cybernetics

My research explores the philosophy of human-machine relations, with a particular focus on military ethics, and the way we distinguish between humans and machines. During the Second World War, mathematician Norbert Wiener laid the groundwork of cybernetics – the study of the interface between humans, animals and machines – in his work on the control of anti-aircraft fire. By studying the deviations between an aircraft’s predicted motion, and its actual motion, Wiener and his colleague Julian Bigelow came up with the concept of the “feedback loop”, where deviations could be fed back into the system in order to correct further predictions.

Wiener’s theory therefore went far beyond mere augmentation, for cybernetic technology could be used to pre-empt human decisions – removing the fallible human from the loop, in order to make better, quicker decisions and make weapons systems more effective.

In the years since the Second World War, the computer has emerged to sit alongside cybernetic theory to form a central pillar of military thinking, from the laser-guided “smart bombs” of the Vietnam era to cruise missiles and Reaper drones.

It’s no longer enough to merely augment the human warrior as it was in the early days. The next phase is to remove the human completely – “maximising” military outcomes while minimising the political cost associated with the loss of allied lives. This has led to the widespread use of military drones by the US and its allies. While these missions are highly controversial, in political terms they have proved to be preferable by far to the public outcry caused by military deaths.

Military drones are widely used by the US and its allies (Getty Images)

 

Continues in source: Killer robots are not science fiction – they have been part of military defence for a while | The Independent

Pace Layering: How Complex Systems Learn and Keep Learning – Stewart BRand

 

Source: Pace Layering: How Complex Systems Learn and Keep Learning

 

Pace Layering: How Complex Systems Learn and Keep Learning

Pace layers provide many-leveled corrective, stabilizing feedback throughout the system. It is in the contradictions between these layers that civilization finds its surest health. I propose six significant levels of pace and size in a robust and adaptable civilization.
Updated Feb 04, 2018 (1 Older Version)
Pace Layering: How Complex Systems Learn and Keep Learning

“Civilizations with long nows look after things better,” says Brian Eno.  “In those places you feel a very strong but flexible structure which is built to absorb shocks and in fact incorporate them.”

1

You can imagine how such a process could evolve—all civilizations suffer shocks; only the ones that absorb the shocks survive.  That still doesn’t explain the mechanism.In recent years a few scientists (such as R. V. O’Neill and C. S. Holling) have been probing the same issue in ecological systems: how do they manage change, how do they absorb and incorporate shocks?  The answer appears to lie in the relationship between components in a system that have different change-rates and different scales of size.  Instead of breaking under stress like something brittle, these systems yield as if they were soft.  Some parts respond quickly to the shock, allowing slower parts to ignore the shock and maintain their steady duties of system continuity.

Consider the differently paced components to be layers.  Each layer is functionally different from the others and operates somewhat independently, but each layer influences and responds to the layers closest to it in a way that makes the whole system resilient.

From the fastest layers to the slowest layers in the system, the relationship can be described as follows:

Fast learns, slow remembers.  Fast proposes, slow disposes.  Fast is discontinuous, slow is continuous.  Fast and small instructs slow and big by accrued innovation and by occasional revolution.  Slow and big controls small and fast by constraint and constancy.  Fast gets all our attention, slow has all the power.

All durable dynamic systems have this sort of structure.  It is what makes them adaptable and robust.

Take a coniferous forest.  The hierarchy in scale of pine needle, tree crown, patch, stand, whole forest, and biome is also a time hierarchy.  The needle changes within a year, the crown over several years, the patch over many decades, the stand over a couple of centuries, the forest over a thousand years, and the biome over ten thousand years.  The range of what the needle may do is constrained by the crown, which is constrained by the patch and stand, which are controlled by the forest, which is controlled by the biome.  Nevertheless, innovation percolates throughout the system via evolutionary competition among lineages of individual trees dealing with the stresses of crowding, parasites, predation, and weather.  Occasionally, large shocks such as fire or disease or human predation can suddenly upset the whole system, sometimes all the way down to the biome level.

The mathematician and physicist Freeman Dyson makes a similar observation about human society:

The destiny of our species is shaped by the imperatives of survival on six distinct time scales.  To survive means to compete successfully on all six time scales.  But the unit of survival is different at each of the six time scales.  On a time scale of years, the unit is the individual.  On a time scale of decades, the unit is the family.  On a time scale of centuries, the unit is the tribe or nation.  On a time scale of millennia, the unit is the culture.  On a time scale of tens of millennia, the unit is the species.  On a time scale of eons, the unit is the whole web of life on our planet.  Every human being is the product of adaptation to the demands of all six time scales.  That is why conflicting loyalties are deep in our nature.  In order to survive, we have needed to be loyal to ourselves, to our families, to our tribes, to our cultures, to our species, to our planet.  If our psychological impulses are complicated, it is because they were shaped by complicated and conflicting demands.

2

 

In terms of quantity, there are a great many pine needles and a great many humans, many forests and nations, only a few biomes and cultures, and but one planet.  The hierarchy also underlies much of causation and explanation.  On any subject, ask a four-year-old’s sequence of annoying “Why?”s five times and you get to deep structure.  “Why are you married, Mommy?”  “That’s how you make a family.”  “Why make a family?”  “It’s the only way people have found to civilize children.”  “Why civilize children?”  “If we didn’t, the world would be nothing but nasty gangs.”  “Why?”  “Because gangs can’t make farms and cities and universities.”  “Why not?”  “Because they don’t care about anything larger than themselves.”

I propose six significant levels of pace and size in the working structure of a robust and adaptable civilization.  From fast to slow the levels are:

  • Fashion/art
  • Commerce
  • Infrastructure
  • Governance
  • Culture
  • Nature
The order of a healthy civilization.  The fast layers innovate; the slow layers stabilize.  The whole combines learning with continuity.
The order of a healthy civilization.  The fast layers innovate; the slow layers stabilize.  The whole combines learning with continuity.

In a durable society, each level is allowed to operate at its own pace, safely sustained by the slower levels below and kept invigorated by the livelier levels above.  “Every form of civilization is a wise equilibrium between firm substructure and soaring liberty,” wrote the historian Eugen Rosenstock-Huessy.

3

Each layer must respect the different pace of the others.  If commerce, for example, is allowed by governance and culture to push nature at a commercial pace, then all-supporting natural forests, fisheries, and aquifers will be lost.  If governance is changed suddenly instead of gradually, you get the catastrophic French and Russian revolutions.  In the Soviet Union, governance tried to ignore the constraints of culture and nature while forcing a five-year-plan infrastructure pace on commerce and art.  Thus cutting itself off from both support and innovation, it was doomed.We can examine the array layer by layer, working down from the fast and attention-getting to the slow and powerful.  Note that as people get older, their interests tend to migrate to the slower parts of the continuum. Culture is invisible to adolescents but a matter of great concern to elders.  Adolescents are obsessed with fashion while elders are bored by it.

The job of fashion and art is to be froth—quick, irrelevant, engaging, self-preoccupied, and cruel.  Try this!  No, no, try this!  It is culture cut free to experiment as creatively and irresponsibly as the society can bear.  From all that variety comes driving energy for commerce (the annual model change in automobiles) and the occasional good idea or practice that sifts down to improve deeper levels, such as governance becoming responsive to opinion polls, or culture gradually accepting “multiculturalism” as structure instead of just entertainment.

If commerce is completely unfettered and unsupported by watchful governance and culture, it easily becomes crime, as in some nations after Communism fell.  Likewise, commerce may instruct but must not control the levels below it, because it’s too short-sighted.  One of the stresses of our time is the way commerce is being accelerated by global markets and the digital and network revolutions.  The proper role of commerce is to both exploit and absorb those shocks, passing some of the velocity and wealth on to the development of new infrastructure, but respecting the deeper rhythms of governance and culture.

Infrastructure, essential as it is, can’t be justified in strictly commercial terms. The payback period for things such as transportation and communication systems is too long for standard investment, so you get government-guaranteed instruments like bonds or government-guaranteed monopolies.  Governance and culture have to be willing to take on the huge costs and prolonged disruption of constructing sewer systems, roads, and communication systems, all the while bearing in mind the health of even slower “natural” infrastructure—water, climate, etc.

Education is intellectual infrastructure.  So is science.  They have very high yield, but delayed payback.  Hasty societies that can’t span those delays will lose out over time to societies that can.  On the other hand, cultures too hidebound to allow education to advance at infrastructural pace also lose out.

In the realm of governance, the most interesting trend in current times—besides the worldwide proliferation of democracy and the rule of law——is the rise of what is coming to be called the “social sector.”  The public sector is government, the private sector is business, and the social sector is the nongovernmental, nonprofit do-good organizations.  Supported by philanthropy and the toil of volunteers, they range from church charities, local land trusts, and disease support groups to global players like the International Red Cross and World Wildlife Fund.  What they have in common is that they serve the larger, slower good.

The social sector acts on culture-level concerns in the domain of governance.  One example is the sudden mid-20th-century dominance of “historic preservation” of buildings, pushed by organizations like the National Trust for Historic Preservation in America and English Heritage and the National Trust in Britain.  Through them, culture declared that it was okay to change clothing at fashion pace, but not buildings; okay to change tenants at commercial pace, but not buildings; okay to change transportation at infrastructure pace, but not neighborhoods.  “If some parts of our society are going to speed up,” the organizations seemed to say, “then other parts are going to have to slow way down, just to keep balance.”  Even New York City, once the most demolition-driven metropolis in America, now is preserving its downtown.

Culture’s vast slow-motion dance keeps century and millennium time.  Slower than political and economic history, it moves at the pace of language and religion.  Culture is the work of whole peoples.  In Asia you surrender to culture when you leave the city and hike back into the mountains, traveling back in time into remote village culture, where change is century-paced.  In Europe you can see it in terminology, where the names of months (governance) have varied radically since 1500, but the names of signs of the Zodiac (culture) are unchanged in millennia.  Europe’s most intractable wars have been religious wars.

As for nature, its vast power, inexorable and implacable, just keeps surprising us.  The world’s first empire, the Akkadian in the Tigris-Euphrates valley, lasted only a hundred years, from 2300 BCE to 2200 BCE.  It was wiped out by a drought that went on for three hundred years.  Europe’s first empire, the Minoan civilization, fell to earthquakes and a volcanic eruption in the 15th century BCE.  When we disturb nature at its own scale, such as with our “extinction engine” and greenhouse gases, we risk triggering apocalyptic forces.  Like it or not, we have to comprehend and engage the longest now of nature.

The division of powers among the layers of civilization lets us relax about a few of our worries.  We don’t have to deplore technology and business changing rapidly while government controls, cultural mores, and “wisdom” change slowly.  That’s their job.  Also, we don’t have to fear destabilizing positive-feedback loops (such as the Singularity) crashing the whole system.  Such disruption can usually be isolated and absorbed.  The total effect of the pace layers is that they provide a many-leveled corrective, stabilizing feedback throughout the system.  It is precisely in the apparent contradictions between the pace layers that civilization finds its surest health.


 

Acknowledgements

The idea of pace layering has a history.  The text above is a slightly edited version of a chapter in my 1999 book The Clock of the Long Now: Time and Responsibility.  I first created the healthy-civilization diagram with Brian Eno at his studio in London in ­­­­1996.   Earlier still, in the early 1970s, the English architect Frank Duffy wrote, “A building properly conceived is several layers of longevity of built components.”  He identified four layers in commercial buildings—Shell (lasts maybe 50 years), Services (swapped out every 15 years or so), Scenery (interior walls, etc. move every 5 to 7 years), and Set (furniture, moving sometimes monthly.)  For my 1994 book How Buildings Learn: What Happens After They’re Built I expanded Duffy’s four layers to six: Site, Structure, Skin, Services, Space Plan, and Stuff.  The chapter on how the components play out in a healthy building I titled “Shearing Layers.”  Some reviewers of the book on Amazon claim that How Buildings Learn is really about software and systems design.

This is the diagram on which How Buildings Learn (1994) is based.
This is the diagram on which How Buildings Learn (1994) is based.

Interactions and complexity – Gerry McGovern

 

Source: Interactions and complexity – Gerry McGovern – Customer experience keynote speaker; user experience keynote speaker

 

Interactions and complexity

“Networks are an essential ingredient in any complex adaptive system,” Eric Beinhocker writes in The Origin of Wealth. “Without interactions between agents, there can be no complexity.”

Think of a printed page in a book for a moment. It may contain complex ideas, but it is relatively simple. It is hard-linked to the page that came before and the one after. It may contain references which leads you to an appendix. However, in many ways, it is what you may call “finished” or “published”.

Webpages have a whole other level of potential. They may in fact be just like that print page if an organization has merely digitized print content and uploaded it on the Web. However, it is usually surrounded by an architecture of links. Sometimes, it may contain live data that gets updated as and when change occurs. Sometimes, it will change based on an action by the one accessing it. That is the true Web. And when it is at its most powerful, it is also at its most complex.

However, this is generally a hidden complexity. Think of Google. It couldn’t be simpler to use: a search box and a click. Its interface has become even more minimal over the years. Up until sometime in 2015, it had a link beside the search box that read, “Advanced Search.” It no longer has that link, even though, year after year, the search algorithm has been refined to become more and more complex.

Google removed the link “Advanced Search” simply because most people didn’t want to do an “advanced” search. “Why, little old me, I’d never be able to do any advanced search. Sounds very complex. Do you need a degree for that?”

Google realized it needed to perform the advanced and complex work for the customer. Thus, instead of the customer going to the advanced section and selecting an option that indicated they wanted to conduct geographical searches, Google sought to identify words in their search behavior that would indicate whether they were searching for a place rather than a thing or person. If Google noticed such “geographic” words, it would include a map in its search results.

We all want the fruits of complexity. Only a few want to undertake the labors of complexity to make things simpler for others. If you consider the history of retail – from barter to Amazon – we see an inexorable shift of complexity away from the buyer and towards the seller. The seller is constantly and relentlessly making it easier to purchase because sellers have done the math. They understand the return on investment when investing in simplicity.

Most other organizations do not invest in simplicity. They constantly calculate the costs of complexity they will incur, ignoring the returns on simplicity. They seek the cheapest ways to get stuff up on the Web (which is why we see so much digitized print content in the form of bulky PDFs on websites).

The Web is not print. It’s a much more complex, networked environment. Those who are investing in complexity, while also investing in simplifying interactions with such complex systems, are reaping the bountiful rewards.

Online Courses – CC Modeling Systems

Paid courses for teachers (I think)

Source: Online Courses – CC Modeling Systems

 

Online Courses


REGISTER NOW

1st Course in System Dynamics Modeling:
Basic Models

(3 Graduate CE Credits, option)

The first online course in the sequence of System Dynamics (SD) modeling courses is intended for any instructor who does not have experience with SD modeling. The participant will learn to build the models presented using lessons that they could adapt for their own students. The model-building lessons have been used in math and/or science classes, some with students as young as 15 years.  The course is asynchronous.

Prerequisites: 1. Comfort with basic secondary school algebra concepts;  2. Comfort with the content of the course being taught by the participant (within which model-building activities will be added); 3. An interest in expanding the hands-on experiences of the participants’ students; 4. An interest in learning the value that System Dynamics modeling can bring to the learning environment.

The sequence of session topics are listed below:

  • Session 1:  Digital Communication Tools
  • Session 2:  Analyzing Simple Generic Behavior Characteristics
  • Session 3:  Building Simple Models
  • Session 4:  Learning about Feedback and the Importance of Unit Consistency
  • Session 5:  Building Drug Models
  • Session 6:  Building an Epidemic Model
  • Session 7:  Building Models that Produce Oscillations
  • Session 8:  Building Rocket Models and Models for other Trajectories
  • Session 9:  Constructing Your First Model-Building Lessons
  • Session 10:  National Curriculum Standards and Creating Assessments

Each session is divided into sections that involve exploring the new concepts, practicing the new concepts, an assessment, reading and discussion questions, and numerous web resources.  (Maximum 15 participants.)


REGISTER NOW

2nd Course in System Dynamics Modeling:
More Advanced Models

(4 Graduate CE Credits, option)

The second online course in the sequence of System Dynamics (SD) modeling courses is intended for instructors who want to go the next step, building models dealing with more advanced system dynamics concepts. The participant will learn to build the models presented using lessons that they could adapt for their own students. The model-building lessons have been used in math and/or science classes, some with students as young as 15 years.  The course is asynchronous.

Prerequisites: 1st Course in System Dynamics Modeling: Basic Models. Or, participants need: 1. experience building small System Dynamics (SD) models (especially containing exponential structure); 2. the ability to include appropriate, consistent units in an SD model; 3. the ability to recognize and explain reinforcing and balancing feedback loops in an SD model.

The sequence of session topics are listed below:

  • Session 1:  Review of Digital Communication Tools and Review of Course 1
  • Session 2:  Some Scenarios from the “Shape of Change” Book
  • Session 3:  Building Population Models
  • Session 4:  Introduction Dimensionless Multiplier Components
  • Session 5:  Keystone Species and More About Feedback
  • Session 6:  Euler’s Method
  • Session 7:  How Differential Equations Relate to System Dynamics Models
  • Session 8:  Three Model-Building Lesson Structures
  • Session 9:  Constructing Another (3rd) Model-Building Lesson
  • Session 10:  Creating Assessments for Model-Building Lessons, Viewing the Design of a Year-Long Modeling Course for Students; Using Story-Telling feature of Stella

Each session is divided into sections that involve exploring the new concepts, practicing the new concepts, an assessment, reading and discussion questions, and numerous web resources.  (Maximum 15 participants.)


REGISTER NOW

3rd Course in System Dynamics Modeling:
Building Models From the News

(5 Graduate CE Credits, option)

The third online course in the sequence of System Dynamics (SD) modeling courses is intended for instructors who want to learn to build original models whose inspiration arises from news articles or from course content for which there are currently no available SD models. The participant will learn even more advanced SD techniques and practice building some pre-designed models as well as original models. There is a modeling project required for this course that will take the participants through the entire SD modeling method. The model-building lessons have been used in math, science, social science, and/or economics classes, some with students as young as 15 years of age.  Most of the course is asynchronous.  There are parts of two lessons for which a time will be synchronized for group model building.

Prerequisites: 2nd Course in System Dynamics Modeling: More Advanced Models. Or, participants need: 1. experience building System Dynamics (SD) models containing at least 2 – 3 stocks; 2. the ability to design and apply a dimensionless multiplier in an SD model; 3. the ability to define consistent units and identify and explain feedback in an SD model; 4. to understand the meaning of transfer of loop dominance.

The sequence of session topics are listed below:

  • Session 1:  Review of Digital Communication Tools and Review of Course 1 and Course 2 Concepts
  • Session 2:  Information and Material Delays; Supply and Demand Model
  • Session 3:  Verification and Validation; Pollution Model
  • Session 4:  Building a Stock/Flow Diagram From a News Article
  • Session 5:  Starting the Research for Your Team Project; Policy Testing; Urban Growth Model
  • Session 6:  Building the Model for Your Team Project; Start Fishbanks Activity
  • Session 7:  Draft of Project Model Due; Finish Fishbanks Activity
  • Session 8:  Correct Project Model; Complete Model testing; Build Fishbanks Model
  • Session 9:  Determine Potential Successful Policies for Project Model; Policy Testing with Fishbanks; Video Presentation Specified
  • Session 10: Video Presentation Due; Demonstration of C-Roads Climate Change Simulation

Each session is divided into sections that involve exploring the new concepts, practicing the new concepts, an assessment, reading and discussion questions, and numerous web resources.  (Maximum 15 participants.)


Instructors for Course 1:

Anne LaVigne: In collaboration with the Creative Learning Exchange, create materials and experiences that engage people in basic modeling concepts and connect educators to real-world curricular systems being studied in pre-college education.

Diana Fisher: Winner of the Lifetime Achievement Award (2011 – System Dynamics Society); Presidential Award (1995); Intel Innovation in Teaching Award (1996). Teacher of system dynamics modeling at the pre-college and university level for over 20 years.

Instructor for Course 2 and Course 3:

Diana Fisher

Release | The open theory and its enemy

Dr. Steffen Roth's avatarDr Steffen Roth

Roth S. (2019), The open theory and its enemy: Implicit moralisation as epistemological obstacle for general systems theory, Systems Research and Behavioral Science, Vol. 36 No. 3, 1-8 [SSCI .860, Scopus, CABS**].

Article available for download here.

Abstract: Ludwig von Bertalanffy decisively shaped open systems theory as challenge and alternative to the then‐dominant theories of closed systems. This strategic positioning and its success have abetted frequent and frequently implicit moralisations of openness and closeness. In this article, we draw on the concept of autopoietically closed systems to show that the prevailing affirmative bias to openness constitutes an epistemological obstacle to the advancement of general systems theory. We demonstrate how this obstacle can be removed by tetralemmatic decision programmes that facilitate the management of dilemmatic co‐occurrences of and trade‐offs between openness and closeness.

Keywords: autopoietic systems, Bertalanffy, epistemological obstacles, general systems theory, Luhmann, open systems, tetralemma

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The Causal Texture of Organizational Environments – Emery and Trist, 1965

 

Source: Ackoff Center Weblog: The Causal Texture of Organizational Environments

 

The Causal Texture of Organizational Environments

F.E. Emery and E.L. Trist, ‘The causal texture of organizational environments’, Human Relations vol.18 (1965), pp. 21-32. Reprinted with Permission

A main problem in the study of organization change is that the environmental contexts in which organizations exists are themselves changing, at an increasing rate, and towards increasing complexity. This point, in itself, scarcely needs labouring. Nevertheless, the characteristics of organisational environments demand consideration for their own sake, if there is to be an advancement of understanding in the behavioural sciences of a great deal that is taking place under the impact of technological change, especially at the present time. This paper is offered as a brief attempt to open up some of the problems, and stems from a belief that progress will be quicker if a certain extension can be made to current thinking about systems. In a general way it may be said that to think in terms of systems seems the most appropriate conceptual response so far available when the phenomena under study – at any level and in any domain – display the character of being organised, and when understanding the nature of the interdependencies constitutes the research task. In the behavioural sciences, the first steps in building a systems theory were taken in connection with the analysis of internal processes in organisms, or organisation, when the parts had to be related to the whole. Examples include the organismic biology of Jennings, Cannon, and Henderson; early Gestalt theory and its later derivatives such as balance theory; and the classical theories of social structure. Many of these problems at the social level. It will show how a greater degree of system-connectedness, of crucial relevance to the organization, many develop in the environment, which is yet not directly a function either of the organization’s own characteristics or of its immediate relations. Both of these, of course, once again become crucial when the response or the organization to what has been happening is considered.

To read this article, click on the link:  

Download 10.1177_001872676501800103.pdf

Bertalanffy – General Systems Theory (full pdf)

 

Source: (99+) (PDF) Bertalanffy | Nina Pref – Academia.edu

H. Igor Ansoff – Strategic Posture

This is an ‘eccentric’ site in its design and colour scheme, but the content including key diagrams is useful. Above the below content on the page linked is a CV and timeline of Ansoff.

Source: H. Igor Ansoff – Strategic Posture

“Igor Ansoff ‘invented’ strategic planning and strategic management.” Philip Kotler

“Igor Ansoff is the father of strategic management.” Henry Mintzberg

“Truly the godfather of Corporate strategy.” Gary Hamel 

“Igor Ansoff was the father of modern strategic thinking.” Tim Hindle

“In 1965 came the Bible of strategic planning, H. Igor Ansoff’s monumental Corporate Strategy.” Richard Koch​

Picture

Guy Parrott
The Ansoff’s matrix and its relevance in today’s marketing
University of Bedfordshire
Malcolm McDonald
Ansoff Matrix
The Oxford College of Marketing

Highlights in Shaping Theories and Practice of Strategic Thinking

Picture

Picture

Contribution

1.  Founder of the concept of Strategic Management:
.         was the first to coin the term Strategic Planning (1965)
.         and, later on the term Strategic Management (1972)2.  First to introduce the Umbrella Concept suggesting that different solutions are needed under different levels of turbulence of the Environment. These solutions include business and corporate level strategies.3.  Empirically validated theories, proven in thousands of situations around the world

4.  Developed the Strategic Success Diagnosis model to determine and assess an Organization’s external Environment as to:
·         where an Organization is presently,
·         where it should be, and
·         how to do it

5.  The Strategic Success Diagnosis applies to all Environment Serving Organizations, for profit, not-for profit and governmental agencies

6.  Concentrated on the strategies and capabilities needed at the high levels of turbulence of the Environment by introducing the Real-Time Strategic Management concept

7.  Developed many practical process tools and technologies applied in practice

​Validation

​H. Igor Ansoff came to USIU in 1983 and founded the School of Strategic Management. He is the only one in the field who has validated his theory supported with consistently high results.

There are over 45 Doctorates awarded in the Strategic Management discipline verifying Ansoff’s approach. The findings were empirically validated.  All results are available for review at a special edition Compendium of Strategic Management Research. Graduates of the Strategic Management program, from both the Master’s and the Doctoral programs, are holding high positions in industry and academia around the world.

Major Contributions

Judge the results by the criterion of relevance to reality, and not by the more common criterion of proper attribution to prior work.

​Among the material developed by H. Igor Ansoff, three contributions shaped and influenced theories of strategic thinking: the concept of  environmental turbulence, the contingent strategic success paradigm and real-time strategic management.

Environmental Turbulence

It is a model of the business environment consisting of five turbulence levels, ranging from placid and predictable to highly changeable and unpredictable.  For each level of turbulence, Ansoff hypothesized and proven that a different behavior is needed in each level which optimizes an organization’s profitability (1979).  A simplified description of the levels of turbulence is shown.
In order for an organization to balance both the strategic and operational components, it has to look at both the external and internal environments and align its position to achieve good results. This led to the realization that analysis and interpretation of the organization’s external environment is pivotal to its strategic success.
Ansoff constructed a five-point scale of ‘turbulence levels’.  These are described by a combination of the changeability of events in the environment. The external environment serves as the key indicator for the organization’s strategic position and its inaccurate perception is “strategic myopia”.

Picture

Source: H. Igor Ansoff – Turbulence Levels on which Ansoff’s Prescriptions Optimize Profitability

Contingent Strategic Success Paradigm

​Ansoff used the model of turbulence to construct a strategic success paradigm based on three variables: the turbulence levels of the organization’s environment; the aggressiveness of the organization’s strategic behavior in the environment; and the responsiveness of the organization’s management to changes to the environment.
The paradigm states that the financial performance of an organization is optimized when the aggressiveness and management responsiveness of the organization both match the turbulence of the organization’s environment (1979).
The fact that an organization can be successful at one time and unsuccessful in another led Ansoff to realize that an organization’s strategy has to be aligned with the level of turbulence in which it operates; otherwise its financial performance drops.  A matching triplet was designed to show the link between the environment, strategy and capability.
Ansoff challenges the validity of prescriptions for organizations’ success established in the literature.  His model does not deny the validity of these prescriptions; on the contrary it places them in a context in which each is valid under a particular set of circumstances dependent on the level of turbulence of the environment.  For instance, specific strategic actions could be very appropriate in one level but not so when applied in another level.  In order for organizations to attain maximum profitability, they have to interpret the level of environmental turbulence and align their strategy and capability accordingly.
While some maintain that there is one prescription for success, Ansoff has empirically proven in a total of more than 2,100 cases around the world (1983 – 1999) that different environments call for different corporate responses.
Ansoff developed a diagnostic tool for working managers to diagnose the readiness of their organizations to succeed in turbulent environments.  It enables an organization to identify the existence of any gap between its future environment, its current strategy and its current capability.
Managers can also use the paradigm to select the strategic approach proposed by the academics and consultants which best fit in the appropriate level of turbulence.  There are quite a number of options applicable in each level of turbulence.  However, the same strategic option does not guarantee optimal financial performance under all levels of turbulence.  One can be appropriate for one but inappropriate for another.

Picture

Source: H. Igor Ansoff – Turbulence, Strategy and Capability must Match to Optimize Profitability

Real-time Strategic Management

​Ansoff’s third contribution is in the applicable strategies to be used in high turbulence environments. The distinct characteristics of the real-time strategic management include the following:

1.    Application of strategic diagnosis to assess the organization’s readiness to succeed in the high turbulent environment
2.    Priority attention to ensuring the appropriate mind-set of key managers and the firm’s culture to respond to this type of environment
3.    Anticipation of encountering resistance to change, accompanied by early steps to convert the resistance into acceptance and support of change
4.    Risk estimates assessment surrounding each major strategic decision
5.    Designing the strategic planning and positioning of the organization
6.    Introduction of the real-time strategic control mechanism
7.    Revision mechanism of the organization’s current strategy (when there are indications that it does not longer work)

Picture

Source: H. Igor Ansoff

Strategic Planning in Turbulent Environments: A Social Ecology Approach to Scenarios Ramírez, Rafael and Selsky, John W. (2016)

 

Source: Strategic Planning in Turbulent Environments: A Social Ecology Approach to Scenarios

 

Strategic Planning in Turbulent Environments: A Social Ecology Approach to Scenarios

Ramírez, Rafael and Selsky, John W. (2016) Strategic Planning in Turbulent Environments: A Social Ecology Approach to Scenarios. Long Range Planning, 49 (1). pp. 90-102.
[img] PDF 
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Abstract

We contrast conventional strategic approaches derived from neoclassical economics with a socio-ecological approach to strategy. We propose that the socio-ecological approach, and specifically the causal textures theory of organizational environments it spawned, helps strategic planners to better engage unpredictable uncertainty that characterizes turbulent environments. To support our argument, we render explicit three principles that have been implicit in causal textures theory. We articulate general strategic planning stances for organizations consistent with each of the three principles, and demonstrate how scenario planning can help to instantiate each principle. We conclude that causal textures theory helps strategic planners to better understand the purpose of scenario planning and helps to guide them on how to make use of scenario planning to effect better strategies in a turbulent environment.

Item Type: Article
Keywords: Strategy; entrepreneurship & global business; Environment uncertainty; High velocity environment; Inter-organizational relationships; Organizational ecology; stakeholder theory; strategy & innovation
Subject(s): Strategy; Entrepreneurship & Global business
Date Deposited: 14 Nov 2014 16:22
Last Modified: 08 Aug 2018 12:56
Funders: None
URI: http://eureka.sbs.ox.ac.uk/id/eprint/5218

Beale Lecture 2019: Mike C Jackson final – The Future of OR Is Present – YouTube

Beale Lecture 2019: Mike C Jackson final – The Future of OR Is Present

Published on 3 Apr 2019

Title: The Future of OR Is Present In 1978, at a conference in York, Russ Ackoff argued that the deficiencies of OR meant ‘The future of OR is past.’ Concentrating on theoretical and methodological advances such as ‘soft OR’ and ‘multi-methodology’, and drawing upon developments in the related trans-discipline of systems thinking, I make the case for an ‘enhanced OR’ capable of helping decision-makers meet the challenges posed by modern-day complexity. Indeed, the future of OR is present. Biography Mike is Emeritus Professor at the University of Hull and Fellow of The OR Society. He received his PhD from the University of Hull, has been awarded two honorary doctorates and authored numerous books. Mike has been a visiting professor at numerous international universities and received an OBE in the Queen’s New Year’s Honours list 2011 for services to higher education and business. His new book, Critical Systems Thinking: Responsible Leadership for a Complex World will be published by John Wiley & Sons in 2019.

Personal History Of Computing – DEV Community

Have not had time to read but apparently has multiple cybernetics references…

 

Philosophical foundations for digital programming

Source: Personal History Of Computing – DEV Community 👩‍💻👨‍💻

 

Personal History Of Computing

tuned profile image Lorenzo (Mec-iS)  Apr 14 ・8 min read

Philosophical foundations for digital programming

linked network

Some Introductory words

“After the tool, responding only to his hand; after the machines, covering complex tasks and operations but subject to his will; here he is to delegate automata to take care of managing and thinking in place of himself, on the basis of apparently rational criteria.“ — H.J. Martin, 1988

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