Anarchism and the cybernetics of self-organising systems
Anarchism and the cybernetics of self-organising systems
Category Archives: Discussion
A view or perspective on the world
Article: Anarchism, Cybernetics and Mutual Aid – A Reflection One Year On – Thomas Swann
ARTICLE: ANARCHISM, CYBERNETICS AND MUTUAL AID – A REFLECTION ONE YEAR ON by Thomas Swann 20TH APRIL 2021 Viable Systems for Mutual Aid
Article: Anarchism, Cybernetics and Mutual Aid – A Reflection One Year On – AnarchistStudies.Blog
NERCCS 2022: Fifth Northeast Regional Conference on Complex Systems
NERCCS 2022: Fifth Northeast Regional Conference on Complex Systems MARCH 30-APRIL 1, 2022 -:- BUFFALO, NY
NERCCS 2022: Fifth Northeast Regional Conference on Complex Systems
On Dancing in Three Tenses and Variety Performances | Human Learning Systems – Cathy Hobbs, Visiting Fellow at Northumbria University
On Dancing in Three Tenses and Variety Performances 15 December 2021 In this blog, Catherine Hobbs (cathy.hobbs@northumbria.ac.uk) reflects upon the potential blending of Human Learning Systems and the rich variety of established Systems Thinking approaches. There is a rich variety of tried and tested systems thinking approaches to potentially help with the Human Learning Systems approach to public service. I would see the blending and development of established systems thinking approaches with Human Learning Systems as being very much a part of the significant experimentation, learning and adaptation that is currently taking place in the real world, unfolding in real time. A mindset change to enthuse rather than overwhelm “Within the context of Human Learning Systems, the humble goal is improving systems literacy, not achieving some grand form of systemic mastery.” It could be easy to be overwhelmed by both
On Dancing in Three Tenses and Variety Performances | Human Learning Systems
Free Energy Principle – Serious Science
Free Energy Principle Neuroscientist Karl Friston on the Markov blanket, Bayesian model evidence, and different global brain theories
Free Energy Principle – Serious Science
Networks of climate change: Connecting causes and consequences – Holme and Rocha (2021)
Physics > Physics and Society
[Submitted on 20 May 2021]
Networks of climate change: Connecting causes and consequences
Understanding the causes and consequences of, and devising countermeasures to, global warming is a profoundly complex problem. Even when researchers narrow down the focus to a publishable investigation, their analysis often contains enough interacting components to require a network visualization. Networks are thus both necessary and natural elements of climate science. Furthermore, networks form a mathematical foundation for a multitude of computational and analytical techniques. We are only beginning to see the benefits of this connection between the sciences of climate change and networks. In this review, we cover use-cases of networks in the climate-change literature — what they represent, how they are analyzed, and what insights they bring. We also discuss network data, tools, and problems yet to be explored.
https://arxiv.org/abs/2105.12537
10 fave papers
These are all paper that inspired me through my random walks in academia (with some emphasis on articles that deserve more attention). (It’s an updated version of a blog post from 2012.)
1. P Bearman, J Moody, R Faris (2002) Networks and history This paper blew my mind when I first read it. All of a sudden, network theory didn’t seem to have any limits. It is about checking the consistency of narratives by reconstructing their causal chains. It is also a case study of a book by the famous (and controversial) Swedish leftist Jan Myrdal. The book, Report from a Chinese village, is a pretty readable account of the Chinese civil war. (I should also say that I was traumatized by having to read his (I thought extremely boring) autobiography in high school.) BMF’s paper was also the direct inspiration to our Emergence of collective memories
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Firsts in network science
I revised this post after comments from Urska Demsar, Travis Gibson, Des Higham, Mason Porter, Max Schich, Jan Peter Schäfermeyer, Johan Ugander, and Jean-Gabriel Young. Thanks!
Our field is interdisciplinary, and many smart people have been thinking about similar things. No wonder things get reinvented and rediscovered many times. I don’t think science is a competition to get good ideas first. On the other hand, who was the first to come up with this or that is a perfect conversation starter across disciplines . . I know people rooting for their field like a sports team.
Here is a list of some first appearances/applications of some big ideas. I restrict myself to:
- The pre-Watts-Strogatz era.
- Ideas that are in active use today (sorry Euler).
But please take it all with a grain of salt and lemme know what I forgot.
The first published network illustration by Moreno, 1932.
Network positions
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{complex [systems} theory]
(This is a light-hearted and ill-researched post. When the infinite amount of free time I ordered on Amazon finally arrives, I might dig into it deeply and be serious.)
Everyone who tries to read widely about systemsy stuff will inevitably feel puzzled by the large-scale flow of ideas. In particular, there is a—sometimes crystal clear, sometimes invisible—border between the lands of engineering and science on the high-dimensional map of human knowledge. In my own random walk in this space of ideas, I often realize too late that I am on the other side of the border than I think I am. So this blog post contains some notes about features of the landscape that can tell you where you are.
Before I stop being vague, I have to point out that none of these traditions is better than the other. Epistemologically speaking, there is probably little reason to separate them…
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What complexity science is, and why
This is a post/essay about understanding complexity science, via some peculiarities of the field, as a meeting place for a special kind of scientist. It is the result of my nostalgia-driven hobby of reading popular-science complex systems books, and builds on notes that have been collecting dust for almost a decade.
Definitions and disclaimers
A striking feature of complexity science is the effort books and articles spend on defining the discipline itself, or complex systems (its study objects) [1]. These definitions often come with disclaimers declaring themselves incomplete [2], inconsistent with other definitions [3], etc. In other words, claiming not to be the final word on the matter and preparing the readers for more definitions to come. But, the more definitions I read, the less well-founded the disclaimers seem. For the purpose of defining a scientific discipline, they are not only consistent [4], but they also stand the test of…
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Organisation Ecosystem: The Theory and the Practice | Sergio Caredda
Organisation Ecosystem: The Theory and the Practice | Sergio Caredda
Organisation Ecosystem: The Theory and the Practice – Caredda (2021)
Integrating Value Chains with the external environment.
BY SERGIO CAREDDAPOSTED ON DECEMBER 19, 2021COMMENTS1READING TIME: 20 MINUTESTHIS ENTRY IS PART 12 OF 12 IN THE SERIES THE ORGANISATION EVOLUTION FRAMEWORK
THE ORGANISATION EVOLUTION FRAMEWORK
- What is Organisation Design?
- Introducing the Organisation Evolution Framework
- Consistency and Intentional Design. Building the Organisation of the Future.
- Building the Intentional Organisation
- Business Models: the theory and practice
- Strategy Frameworks: The Theory and the Practice
- Organisation Models: a Reasoned List between Old and New
- Operating Models: the theory and the practice.
- Leadership Models: The Theory and the Practice
- Purpose: The Theory and the Practice
- Corporate Culture: The Theory and the Practice
- Organisation Ecosystem: The Theory and the Practice
Ecosystem is the eighth building block of the Organisation Evolution Framework, and is the last element we will explore. This article will be different than the other in this series, because I will not explore different approaches or definitions towards ecosystems, but rather look at how we can identify the elements within an ecosystem. I will also dedicate a lot of time in trying to clarify the definition of what an Ecosystem is, and how we can best use the biological metaphor to add to the understanding of this very relevant organisation dimension.
Organisation Ecosystem: The Theory and the Practice
Organisation Ecosystem: The Theory and the Practice | Sergio Caredda
Systems thinking and practice for action research | Ray Ison (2008)
Systems thinking and practice for action research Ray Ison 2008, The Sage Handbook of Action Research Participative … 107 Views 21 Pages 1 File ▾ Show less ▴ Publication Date: 2008 Publication Name: The Sage Handbook of Action Research Participative …
(PDF) Systems thinking and practice for action research | Ray Ison – Academia.edu
Tarski’s undefinability theorem – Wikipedia
Tarski’s undefinability theorem, stated and proved by Alfred Tarski in 1933, is an important limitative result in mathematical logic, the foundations of mathematics, and in formal semantics. Informally, the theorem states that arithmetical truth cannot be defined in arithmetic.
Tarski’s undefinability theorem – Wikipedia
A quick set of links on exaptation / preadaption (with a link into anticipation)
Eirini Malliarki on twitter asked for “the best resources/reads on the use of analogy in invention & innovation”
Marco Valente mentioned exaptation.
My links:
This is a nice intro to the concept (preadaptation): https://evolution-outreach.biomedcentral.com/articles/10.1007/s12052-008-0053-8
And this shows the transition from preadapation to exaption https://academic.oup.com/biolinnean/article/121/2/239/2981978
Kauffman is good on it: https://youtube.com/watch?v=xbbCYSdfcZc
And this is a must-watch https://www.youtube.com/watch?v=EWo7-azGHic
This is also a nice intro to Rosen https://www.semanticscholar.org/paper/Robert-Rosen%27s-anticipatory-systems-Louie/d7d8745a34482dd02eb00fb4a329f8d48634281a (not the same point but parallel)
And https://www.researchgate.net/publication/226307536_On_Emergence_Agency_and_Organization
all of this leads to https://stream.syscoi.com/2021/01/13/the-world-is-not-a-theorem/
which is all wildly exciting to me 🙂
Complex Networks – a notebook from Cosmo Shalizi
http://bactra.org/notebooks/complex-networks.html
Systems Community of Inquiry 
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