The Impossibility of Automating Ambiguity

cxdig's avatarComplexity Digest

Abeba Birhane

Artificial Life

On the one hand, complexity science and enactive and embodied cognitive science approaches emphasize that people, as complex adaptive systems, are ambiguous, indeterminable, and inherently unpredictable. On the other, Machine Learning (ML) systems that claim to predict human behaviour are becoming ubiquitous in all spheres of social life. I contend that ubiquitous Artificial Intelligence (AI) and ML systems are close descendants of the Cartesian and Newtonian worldview in so far as they are tools that fundamentally sort, categorize, and classify the world, and forecast the future. Through the practice of clustering, sorting, and predicting human behaviour and action, these systems impose order, equilibrium, and stability to the active, fluid, messy, and unpredictable nature of human behaviour and the social world at large. Grounded in complexity science and enactive and embodied cognitive science approaches, this article emphasizes why people, embedded in social systems, are indeterminable and unpredictable…

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The Secrets of Sphagnum | Lorna Smithers

source:

The Secrets of Sphagnum | LaptrinhX / News

The Secrets of Sphagnum

2021-04-28 Highfield Moss - Sphagnum Palustre II.jpg

For the past few centuries peat bogs (or mosslands as we call them here in Lancashire) have been considered god-forsaken wastelands, impassable ‘by man or horse’, ‘too dry to farm, too wet fish’. Drained and excavated they have only been valued in so far as they provide land for farming and peat for energy and horticulture.

Only, in the last fifty years, with the rise of the environmental movement and growing awareness of the climate crisis have we begun to recognise them as habitats valuable in the themselves and as carbon sinks that hold twice as much carbon as forests. 

continues in source:

The Secrets of Sphagnum | LaptrinhX / News

Cybernetics for the Social Sciences – Bernard Scott (book on Amazon)

Cybernetics for the Social Sciences (Brill Research Perspectives in Humanities and Social Sciences) Paperback – 22 April 2021 by Bernard Scott (Author)

Cybernetics for the Social Sciences (Brill Research Perspectives in Humanities and Social Sciences): AmazonSmile: Bernard Scott: 9789004464346: Books

pdf:

https://www.dropbox.com/s/vvth66pxs9yulan/Bernard%20Scott%20book%20flyer.pdf?dl=0

Cybernetics for the Social Sciences
Author: Bernard Scott
Bernard Scott has met a long-felt need by authoring a book that
shows the relevance of cybernetics for the social sciences
(including psychology, sociology, and anthropology). Scott
provides user-friendly descriptions of the core concepts of
cybernetics, with examples of how they can be used in the social
sciences. He explains how cybernetics functions as a
transdiscipline that uni

CECAN – Handling Complexity in Policy Evaluation: Training and Support

Handling Complexity in Policy Evaluation: Training and Support Our new CECAN training and support series ‘Handling Complexity in Policy Evaluation’ will provide you with knowledge and practical advice to allow you to deal with complexity in policy analysis and evaluation.

Handling Complexity in Policy Evaluation: Training and Support

How do systems get unstuck? – Greenpeace International – Wyler (2015)

How do systems get unstuck? Rex Weyler 23 April 2015

How do systems get unstuck? – Greenpeace International

How do systems get unstuck?

Rex Weyler 23 April 2015 |  0 CommentsShare on WhatsappShare on FacebookShare on TwitterShare via Email

Human enterprise appears stuck, like an addict, in habitual behaviour. We have plenty of data alerting us to global heating, declining species, disappearing forests, and rising toxins in our ecosystems. Yet, after decades of efforts to reverse these trends and some notable achievements — whaling moratorium, ocean dumping ban, renewable energy projects — the key trends appear evermore troubling. [1]

In December 2014, I attended a gathering hosted by the International Bateson Institute (IBI) and Centro Studi Riabilitzione Neurocognitiva Villa Miari, a clinic for paralysis patients in Schio, Italy. We observed therapeutic methods employed at Centro Studi to help us consider links between these methods and a efforts to address the ecological paralysis apparent in our social systems. “How Do Systems Get Unstuck” is a long-term, collaberative research project of the Bateson Institute.

Continues in source:

How do systems get unstuck? – Greenpeace International

Brian Eno, Peter Schmidt, and Cybernetics | Rhizome

Brian Eno, Peter Schmidt, and Cybernetics By Geeta Dayal Oct 21, 2009

Brian Eno, Peter Schmidt, and Cybernetics | Rhizome

We are experimenting with different approaches to systems transformation — here are five insights | Søren Vester Haldrup, UNDP Innovation | May, 2021 | Medium

We are experimenting with different approaches to systems transformation — here are five insights UNDP Innovation May 14·8 min read By Søren Vester Haldrup

We are experimenting with different approaches to systems transformation — here are five insights | by UNDP Innovation | May, 2021 | Medium

How organisations are changing.. The next “next” generation | Simon Wardley | May, 2021 | Medium

interesting

How organisations are changing. The next “next” generation swardley May 24·21 min read Just over a decade ago, I published the table in figure 1 to describe how organisations were shifting from a traditional form to a set of next generation behaviours. Whilst the table was welcome in some quarters, it was generally met with derision and comments of “this is just for startups”. Not that I’m bitter … much … gronda gronda.

How organisations are changing.. The next “next” generation | by swardley | May, 2021 | Medium

CASMOS2021: Workshop on Complex Adaptive System Approaches in Management and Organization Science. Online Satellite @CCS2021L

cxdig's avatarComplexity Digest

This workshop is co-located with the Conference on Complex Systems and is interested in novel and innovative applications of complex adaptive system approaches to rising questions in the field of Management and Organization Science. The aim of the workshop is to facilitate the meeting of people who work in the field of Management and Organization Science (as well as adjacent areas) and who employ complex adaptive system approaches. We aim at providing a multidisciplinary forum for the presentation and discussion of recent research findings. The workshop has the ultimate objectives to bridge the gap between Management and Organization Science and Complexity Science, and to promote thereby the further development of Management and Organization Science with a specific emphasis to dynamics and emergent behaviors.

More at: casmos.github.io

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Data-based diagnosis of networked dynamical systems. @CCS2021L Satellite

cxdig's avatarComplexity Digest

Complex networks of dynamical agents are widely used to model the behavior of large physical or virtual systems. Unfortunately, due to the often abstract nature of such networks or the size thereof, it is sometimes difficult to assess correctly their structure and parameters. With the ever increasing amount of data accessible nowadays, it is natural to attempt to recover structural information of the system from measurements.

Altogether, there are two overlapping questions that we would like to treat in this symposium:
* What networks characteristics can be recovered from time-series measurements of its agents?
* How to identify and locate disturbances from time-series measurements?

Read the full article at: www.delabaysrobin.site

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Ultrastability … Autopoiesis? Reflective Response to Tom Froese and John Stewart – Maturana (2011)

Ultrastability … Autopoiesis? Reflective Response to Tom Froese and John Stewart Humberto Maturana Romesín Published 2011 Computer Science Cybern. Hum. Knowing

[PDF] Ultrastability … Autopoiesis? Reflective Response to Tom Froese and John Stewart | Semantic Scholar

Ultrastability … Autopoiesis? Reflective Response to Tom Froese and John Stewart

It is unfortunate that Tom Froese and John Stewart in their article have treated the thinking of Ross Ashby as a conceptual source for my work and the development of the notion of autopoiesis, because by doing so they have obscured their possibility of seeing what questions I am answering in my work. It is also unfortunate that they have assumed that I follow the path of cybernetics, which certainly is not the case. Cybernetics has been used in the attempt to formalize the circularity of biological processes, but one formalizes what one thinks about the processes that one wants to formalize and not the process that one believes to be formalizing. If one is not aware of this, one confuses the formalism proposed with the process that one intended to formalize, and this is what has happened with the notion of autopoiesis at least in the reflections about it. In this context it is unfortunate that in their scholarly effort the authors of this article, in their attempt to show that I do not satisfy what seems to be their deep feeling that living to occur requires the operation of some organizing principle, have been blind and deaf to what I say in my writings. At the same time I think that it is good that at the end of their article they recognize that Ashby’s notions about ultrastability are not adequate to understand what makes a living system a living discrete autonomous entity. When one speaks of the autonomy of living systems, one is saying that their operation as discrete living entities follows regularities determined by the manner they are made, and not by any external organizing factor. As such, autonomy is a feature of the operation of living systems as they continuously make themselves, and we find them autonomous when we begin to reflect about them. So what I say is that what makes living beings autonomous living discrete entities is their constitution and operation as molecular autopoietic systems. In these circumstances the autonomy of living systems needs not to be explained as such, although it is no doubt interesting to reflect on how the organisms transform as autonomous entities in the course of the ontogenic and phylogenic drift of the different organism-niche unities that they integrate.3 The authors of this article speak as if they thought that the notion of autopoiesis were something that existed out there in the world and about which one can have different opinions, although they do not say what they are talking about when they use

pdf https://www.dropbox.com/s/yi9kckdjo4p5xw5/Ultrastability%20%E2%80%A6%20Autopoiesis_%20-%20Dr.%20Tom%20Froese.pdf?dl=0

How Does The World Work: Top-Down or Bottom-Up? : 13.7: Cosmos And Culture : NPR – Frank (2013)

How Does The World Work: Top-Down or Bottom-Up? Facebook Twitter Flipboard Email

How Does The World Work: Top-Down or Bottom-Up? : 13.7: Cosmos And Culture : NPR

h/t The Kihbernetics Institute on Twitter:

Metamodern View of Science – Metamoderna – Freinacht (2017)

Metamodern View of Science Published 01 August, 2017 by Hanzi Freinacht

Metamodern View of Science – Metamoderna

Every self-respecting (and in this case, self-ironic) philosophy must relate to knowledge. What can we know? How can we know it? What knowledge should count as most fundamental and valuable? What to make of subjective experience, social constructions, religions and spirituality in the face of scientific inquiry?

Posts on Metamodernism:
1# Metamodernism: The Conquest of a Term
2# Metamodern View of Science
3# Metamodern View of Reality
4# Metamodern Spirituality, Existence and Aesthetics
5# Metamodern View of Society
6# Metamodern View of the Human Being

Without further ado, let’s jump to the bullet list of insights. The metamodern view of science is:

  • To respect science as an indispensable form of knowing.
  • To see that science is always contextual and truth always tenta­tive; that reality always holds deeper truths. All that we think is real will one day melt away as snow in the sun.
  • To understand that different sciences and paradigms are simul­tan­eously true; that many of their apparent contradictions are superficial and based on misperceptions or failures of translation or integration.
  • To see that there are substantial insights and relevant knowledge in all stages of human and societal development, including tribal life, poly­theism, traditional theology, modern industrialism and postmodern criti­que. In the book The 6 Hidden Patterns of World History, I call this the evolution of “meta-memes”.
  • To celebrate and embody non-linearity in all non-mechanical matters, such as society and culture. Non-linearity, in its simpl­est definition, means that the output of a system is not proport­ional to its input.
  • To harbor a case sensitive suspicion against mechanical models and linear causation.
  • To have “a systems view” of life, to see that things form parts of self-organ­izing bottom-up systems: from sub-atomic units to atomic particles to molecules to cells to organisms.[i]
  • To see that things are alive and self-organizing because they are falling apart, that life is always a whirlwind of destruction: the only way to create and maintain an ordered pattern is to create a corresponding disorder. These are the principles of autopoiesis: entropy (that things degrade and fall apart) and “negative en­tropy” (the falling apart is what makes life possible).
  • To accept that all humans and other organisms have a connect­ing, over­arching worldview, a great story or grand narrative (a religion, in what is often interpreted as being the literal sense of the word: some­thing that connects all things) and therefore accept the necessity of a grande histoi­re, an overarching story about the world. The meta­modernist has her own unapolog­etically held grand narrative, synth­esizing her available under­stand­ing. But it is held lightly, as one recog­nizes that it is always partly fictional – a proto­synthesis.
  • To take ontological questions very seriously, i.e. to let questions about “what is really real” guide us in science and politics. This is called the onto­logical turn.

”…we don’t really have a safe ‘ground of reality’, just a strange space that tunnels in all directions. In this magnificent and frightening hall of mirrors, we must still latch on the best models of reality, and we must still respect the authority of science, which can be questioned only by yet more universal authorities of science.”

Beginning with the first two points, these are obvious to most modern people. Science is defined as that which can be studied with a rigid method and can be empirically verified or falsified by further studies. You can also come up with alternate theories that explain the phenomena more parsimoniously, accurately and in greater harmony with other existing knowledge.

This mainstream view of science of course means that whatever we think we know is always only a partial story about a greater mystery. This holds true even in the most emblematic and powerful of the sciences: physics. For instance, Newton’s laws of gravity have been shown to be better explained by Einstein’s theory of general relativity. Today some physicists, like Lee Smolin, are proposing that we live in a universe where even natural laws are emergent – i.e. just long lasting “habits” of the universe, rather than “laws” inscribed prior to its existence. In a similar vein, Erik Verlinde has argued that gravity doesn’t exist, that it may be an illusion.

Even the most basic and concrete of our convictions – and the ones that best predict the behaviors of nature – are part of deeper mysteries. And science is the process of building upon what we know, which ultimately always tears down the previously known. It is a dance of consciousness, always delving into a deeper mystery. We don’t live in a universe where “science” tells us “the truth”. We live in a universe where the truth always lies beyond us as we plunge into its mystery.

This insight necessitates a holistic view of the world. We cannot easily subscribe to the reductionist view that physics grounds chemistry, which grounds biology, which grounds psychology, which grounds the social sciences. There is of course a logic to this progression, but it is only a partial truth.

There are genuinely different facets of reality: where, for instance, our subjective experience must always be part of the equation, and this consciousness is always within a social context – in the case of humans, a social context that is imbued with meaningful symbols and their interrelations. So because even the study of “physics” cannot exist as anything outside of socially mediated consciousness, its exploration of the world cannot give us all the answers. The subjective realm, and the social realm, hence merit their own, separate forms of inquiry: humanities, perspective taking, interpretation, contemplation – even meditation.

If you can’t point to a “physics” that would exist prior to anyone’s conscious understanding of it, you can no longer believe that physics alone exhausts the knowledge of nature and reality. It is simply a set of mental models of interrelations between different parts of the experienced world. This is not to say, of course, that physics is reducible to opinions and subjective experience. Rather: all physical reality exists within our socially mediated consciousness, just as that same consciousness only exists within the framework of physical reality. The different fundamental aspects of reality swallow one another. This paradox is what most observers have missed: that one aspect of reality is entirely swallowed by another aspect of reality, which is in turn swallowed by the very thing it swallows. Very few people seem to understand this.

So we don’t really have a safe “ground of reality”, just a strange space that tunnels in all directions. In this magnificent and frightening hall of mirrors, we must still latch on the best models of reality, and we must still respect the authority of science, which can be questioned only by yet more universal authorities of science.

”Our work, as metamodern philosophers and scientists, is to rewrite the very fabric of what is real, as our participatory perspectives express higher truths, as they mirror more profound insights about physics and complexity – and land us in a vast landscape of reflections, gazing deeper into the abyss.”

A NEW ONTOLOGICAL TURN

The other points on the list present some such models that are fundamental to the metamodern view of knowledge, that give us something to latch on to.

The metamemes are master patterns in our view of the reality. Societies – and their sciences – evolve by changes of bits of knowledge and cultural patterns, which Richard Dawkins famously named memes. But there are also master patterns that organize the overall patterns of these memes: there are “metamemes”. Modernism, or modern life, is one such metameme, showing up in the arts, philosophy, science, legal structures, politics and the social organization of everyday life. Postmodernism is another one that has showed up in late modern societies. And metamodernism is still being born.

So even if science reigns supreme, it is always created in social, economic, cultural and philosophical settings that determine what scientific questions are asked, what methods are used, what problems are seen as worthwhile, which questions are kosher and which ones are taboo.

From within the field of science we see the growth of increasingly non-linear perspectives and models. You have the growing study of complex, self-organizing systems that follow the logics of chaos mathematics – and it is gaining strength across the sciences. When you study systems of this kind, the “input” is generally not proportional to the “output” of the system. This is in itself, of course, a silly and rather trivial observation: of course there are lots of things that cannot be described with linear, mechanical models. But the repeated exposure to systems thinking also changes one’s general sense of reality: we leave behind a view of reality as “a machine”, and begin to see it as a large set of very different interacting systems. From molecules, to cells, to organisms to ecosystems and societies, you can study their autopoiesis, their propensity to self-assemble. And paradoxically, this is only made possible by the fact that everything in the world is entropic, that everything is always decaying.

All this means that you begin to understand how often our general propensity to think in linear terms deceives us, how our intellectual intuitions betray us. We come to expect the unexpected. We begin to understand that matters are always more counter-intuitive than we would think. We begin to focus less on perceived truths and realities, and more on open-ended processes. For instance, writing this blog entry, which uses a number of flattened and truncated theories and concepts, I still see that these half-theories feed into the process of growing a metamodern understanding of the world. An advancement of a larger intuition, if you like. This intuition can in turn lead us to new, more robust science. And across the sciences, such robust theories are appearing – from the diverse work of The Santa Fe Institute for studies of complexity, to the MIT Center for Collective Intelligence, to the veritable explosion of Barabasi’s network science, which recently has made its entry into neuroscience and medicine. And you have all the people working on “deep learning”, i.e. making machines learn to facilitate the emergence of artificial intelligence. And then you have the field of complexity economics, and corresponding developments in sociology. The list goes on. It’s a veritable revolution in science, intimately tied to what might loosely be termed a metamodern sense of science. In the humanities you have people like the “enactivists” who work with similar concepts. And of course, there are all the views of complex interactions in meteorology and ecology.

But to view science through the lens of chaos, complexity, interaction, entropy, autopoeisis and emergence is not to have a “stable” view of it. Sure, so there is a “pattern that connects”, described in an increasingly wide variety of authors such as Fritjof Capra, Gregory Bateson, Maturana and Varela, Yuval Harari, Robert Wright, Søren Brier, Manuel DeLanda and so forth. But the metamodern view isn’t that this is “the correct” view or intuition about reality.

It is a proto-synthesis. It is a synthesis of the knowledge and perspectives that can be garnered at this point in history – and perhaps not the only one or the best one – and it is destined to be revised and eventually replaced, just as all former intuitions of science.

But the metamodern mind isn’t contented by a relativist view of science. It still believes that there are greater patterns and mysteries to unravel, and that some truths and intuitions are more useful, and in that sense “higher” than others. So it grasps this proto-synthesis and holds it with self-conscious naivety. Because, after all, we need direction. We need something to believe in.

And we must all bow before the dazzling elegance of science.

And as some authors, notably Karen Barad and the posthumanists, and perhaps the “speculative realists”, have argued, we cannot be contented with a view only of knowledge, only of science. Our view of science is always intertwined with our general sense of reality, of what is “really real”, with ontology.

So the metamodern philosophy tries to figure out what is really real. It thus holds that the hall of mirrors, in which fundamental aspects of reality such as consciousness and physical reality, is a higher reality. It keeps asking questions about the nature of this reality, and understands that philosophy is not being expelled to the margins by empirical science.

Nay, philosophy is reasserting itself at the very core of all scientific endeavors. The same is true of spirituality, as all philosophical endeavors must, at their core, relate to reality itself. This wordless relationship is, after all is said and done, still spiritual.

This is the ontological turn. We are taking a turn in which we base our science upon a deepening philosophical inquiry into the nature of reality. Our work, as metamodern philosophers and scientists, is to rewrite the very fabric of what is real, as our participatory perspectives express higher truths, as they mirror more profound insights about physics and complexity – and land us in a vast landscape of reflections, gazing deeper into the abyss.

And when you gaze into the abyss, it also gazes into you.

Systems Thinking stream at OR63 Online: Creating a better future – 14 – 16 September 2021. Deadline for submissions: 11 June 2021 

OR63 Online: Creating a better future  14 – 16 September 2021  Connecting OR professionals from across the world to share, discuss and network GET STARTED, SUBMIT TODAY Deadline for submissions: 11 June 2021

OR63 – The OR Society – The OR Society

OR63 Online: Creating a better future 

14 – 16 September 2021 

Connecting OR professionals from across the world to share, discuss and network

GET STARTED, SUBMIT TODAY

Deadline for submissions: 11 June 2021


Gerald Midgely says:

SYSTEMS THINKING STREAM AT THE OPERATIONAL RESEARCH SOCIETY ONLINE CONFERENCE (OR63), SEPTEMBER 14-16, 2021Many Operational Research (OR) and Systems practitioners share a common interest in systemic intervention to address highly complex organizational, social and environmental problems.The Systems Thinking stream at the OR63 conference, which I am co-organizing, provides a fantastic opportunity to bring people from both the OR and Systems communities together to learn from one another, so both can be enriched. We welcome the widest possible diversity of practitioners and academics, whichever tradition of systems thinking or systemic OR you come from.Each year since 2018, the Systems Thinking stream has been the largest in the sixty-three-year history of the OR Society! We are now mainstream in OR, and this is reflected in the 2021 choice of plenary speakers, with Ariella Helfgott presenting about ‘Systems Thinking for System Change’. Now the conference has moved online, so people don’t have to travel to participate, let’s make the stream even bigger and better – please join in, share your experiences of systems thinking with us, and learn from the wide variety of other systems practitioners who will be participating.If you want to give a talk, THE DEADLINE FOR ABSTRACTS IS 11 JUNE 2021, so very soon. Please don’t miss it! Also, don’t forget to select “Systems Thinking” as your choice of stream. In addition to speaking slots, there are opportunities to run experiential workshops, which can be an hour long. If you want to run a workshop, please choose the “Impact” stream, and make it clear in your abstract that you want it to be a joint session with the Systems Thinking stream.All the information you need to know about deadlines, price of admission, contact information for the organizers, etc., is in the link below.

Using Complexity Science Concepts When Designing System Interventions and Evaluations – Parsons  

Decent list of some core systems concepts

Using Complexity Science Concepts When Designing System Interventions and Evaluations By: Beverly Parsons  

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