Why You Should Question Your Reality Erman Misirlisoy, PhD Nov 29, 2021
Why You Should Question Your Reality | by Erman Misirlisoy, PhD | Nov, 2021 | Medium
‘Perceptual creep’
Why You Should Question Your Reality Erman Misirlisoy, PhD Nov 29, 2021
Why You Should Question Your Reality | by Erman Misirlisoy, PhD | Nov, 2021 | Medium
‘Perceptual creep’
https://en.wikipedia.org/wiki/Boquila
https://www.sciencedirect.com/science/article/pii/S0960982214002693
https://www.tandfonline.com/doi/pdf/10.1080/15592324.2021.1977530?needAccess=true
via Marcel Froehlich @FroelichMarcel and Tom Bray @TomBray on twitter
Permaculture as a Complex System Collective Emergence
How to the empower the localization movement with local cryptocurrencies by Collective Emergence
The Radically Embodied Conscious Cybernetic Bayesian Brain: From Free Energy to Free Will and Back Again by Adam Safron
Entropy | Free Full-Text | The Radically Embodied Conscious Cybernetic Bayesian Brain: From Free Energy to Free Will and Back Again
LAWS OF FORM CONFERENCE 2022
LoF22
LAWS OF FORM CONFERENCE 2022
LoF22

The state of ultimate wisdom … provides a nucleus for a calculus of love, where distinctions are suspended and all is one. Spencer Brown has made a major step in this direction, and his book should be in the hands of all young people—no lower age limit required.Heinz von FoersterREVIEW OF LAWS OF FORM IN THE LAST WHOLE EARTH CATALOGUE, 1971CALL FOR PAPERSSubmissions for papers, panel sessions, interactive presentations, workshops, performance sessions, and creative contributions inspired by George Spencer-Brown’s work and life – and particularly his key work, Laws of Form (LoF) – are now open and welcomed from participants keen to contribute to LoF22 which will be held from Thursday 4 August to Saturday 6 August, 2022 at the University of Liverpool.
Keynotes will be given by Barry Smith and Francis Jeffrey.
LINK: https://lof50.com/?fbclid=IwAR3DPMKZ_gFdpHmZDabm4_0FO3MC1eSIevaut1RH7nmP5Ammh9gA8nw1t-MAnarchism and the cybernetics of self-organising systems
Anarchism and the cybernetics of self-organising systems
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 MARCH 30-APRIL 1, 2022 -:- BUFFALO, NY
NERCCS 2022: Fifth Northeast Regional Conference on Complex Systems
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 Neuroscientist Karl Friston on the Markov blanket, Bayesian model evidence, and different global brain theories
Free Energy Principle – Serious Science
[Submitted on 20 May 2021]
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
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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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:
But please take it all with a grain of salt and lemme know what I forgot.
The first published network illustration by Moreno, 1932.
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(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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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.
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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