announcing The Necessary Tangle – a living evidence atlas of systems | cybernetics | complexity

I’ve been wanting for years to do a ‘better map’ of systems | complexity | cybernetics, having strongly criticised the Castellani ‘complexity map’ and seen some others – and been involved in the SCiO SysBoK where we tried to map key concepts, their necessary antecedents and dependent thingummies, people, meaning, and so on (- and always inspired by ‘rock family trees’ and the way it’s the constellation of influences and people around individual practitioners that actually makes the difference, as David Ing says).

So with the assistance of ChatGPT, and I’ve been building The Necessary Tangle – a living, evidence-backed atlas of systems | complexity | cybernetics.

It currently maps 411 public entries and 32 developed profiles from 93 registered sources.

The key difference from the usual family tree is that every line has to say what sort of relationship it represents: logical antecedent, historical precursor, documented influence, teaching, collaboration, practical use, and so on.

The eventual ambition to: trace the human as well as conceptual lineages; connect theory to practice; distinguish espoused intellectual genealogy from the clusters the evidence actually produces; and let categories emerge from the resulting network rather than deciding the schools in advance.

It’s very much a public alpha. Some areas are already quite deep; others are little more than markers saying ‘this belongs here’. I’m putting it out now precisely because corrections, missing connections, rival genealogies and ‘surely you can’t say that’ responses are part of building it.

AND I’m very happy to share, collaborate or whatever….

Have a look
https://transduction.systems

Benjamin
www.antlerboy.com

Nonchaotic model reveals how predictability can emerge from seemingly unpredictable dynamics by Daniel Inafuku

Nonchaotic model reveals how predictability can emerge from seemingly unpredictable dynamics

Doing Serious Systems Thinking Means Getting Rid of Elephants, Icebergs and Leverage Points – Jackson (2026) on LinkedIn

Doing Serious Systems Thinking Means Getting Rid of Elephants, Icebergs and Leverage Points

Dr Mike C Jackson OBE

Dr Mike C Jackson OBE

Centre for Systems Studies

October 13, 2026

https://www.linkedin.com/pulse/doing-serious-systems-thinking-means-getting-rid-jackson-obe-pswoe

Our minds aren’t equipped to handle AI

Our minds aren’t equipped to handle AI | The Verge

Design Horizon – An open library of emerging practices and provocations for tackling our world’s most wicked problems – Guerra (2026)

[I have to say, I’m laughing at myself. I made https://transduction.systems/ – The Necessary Tangle | A living evidence atlas of systems | cybernetics | complexity using ChatGPT (just like I made a series of ‘commissioning compasses’ at https://publicservicetransformation.org/tools/), and, just as my brother and sister-in-law chose brilliant, unique, rarely-used names for my niece and nephew, only to discover, you know, two children in the same year with the same name… they’re like Ford Cortinas… every arsheole has one! The zeitgeist and, as McLuhan would say, the media technology, has its own designs, doesn’t it? So there are now millions of compasses and living atlases, this one done by Ruth Guerra and Claude (evidently), each *somewhat* reflecting the personality of their creator and somewhat… something else.

This one is nice, conciser (36 hand-reviewed sources so far), and has some systems thinking stuff in it 🙂 ]

Design as a living compass.

Design Horizon is a free digital resource library for people creating within complexity. It was created by Ruth Guerra, a systemic designer, researcher, and founder of Phenomena Co-Design.

Explore the edges of design.

An open library of emerging practices and provocations for tackling our world’s most wicked problems.

Call for Thematic Sessions – – FedCSIS 2027

Call for Thematic Sessions — FedCSIS 2027 | Facebook

#95 Inventing Temperature, Operational Coherence, Activist Realism and Active Knowledge with Cambridge philosopher Hasok Chang

#95 Inventing Temperature, Ope… – love & philosophy – Apple Podcasts

Love & Philosophy – Andrea Hiott

love & philosophy – Podcast – Apple Podcasts

BI 247 Maxim Raginsky: A Control Theory View on Brains and AI

BI 247 Maxim Raginsky: A Control Theory View on Brains and AI | Brain Inspired

Warren McCulloch, chairman [sic] of the Macy Conferences on Cybernetics, in a letter to the cybernetics group before the tenth and final conference, 1953. Discovered and shared by Sean Manion.

Images at https://x.com/TheUnjournaling/status/2108201351717044689/photo/3

Page 1
Einstein once defined Truth as an agreement obtained by taking into account observations, their relations, and the relations of the observers. In his case the observations were the coincidences of signals at points in frames of reference; their relations were matters of space and time in those frames; his observers were reduced to what Helmholtz called a locus observandi, devoid of prejudices and imagination; and the only relations he had to consider among them were their relative positions, motions and accelerations. The Truth he had in mind is a picture of the world upon which all observers can agree, because it is expressed in a manner invariant under the transformations required to represent the relations of the observers. It is a paradigm for what ‘scientific agreement’ may mean.
Unfortunately for us our data could not be so simply defined. It has been gathered by extremely dissimilar methods, by observers biased by disparate endowment and training, and related to one another only through a babel of laboratory slangs and technical jargons. Our most notable agreement is that we have learned to know one another a bit better, and to fight fair in our shirt sleeves. That sounds Democratic, or better, Anarchistic, as you have twice reminded me. Aside from the tautologies of theory and the authority of unique access by personal observation of a fact in question, our consensus has never been unanimous. Even had it been so, I see no reason why God should have agreed with us. For we have been very ambitious in seeking those notions which pervade all purposive behavior and all understanding of our world: I mean the mechanistic basis of teleology and the flow of information through machines and men. In our own eyes we stand convicted of gross ignorance and, worse, of theoretical incompetence.
Page 2
Our meetings began chiefly because Norbert Wiener and his friends in mathematics, communication engineering and physiology had shown the applicability of the notions of inverse feedback to all problems of regulation, homeostasis and goal-directed activity, from steam-engines to human societies. Our early sessions were largely devoted to getting these notions clear in our heads, and to discovering how to employ them in our dissimilar fields. Between sessions many of us made observations and experiments inspired by them, but we generally found it difficult to collect sufficient appropriate data in the six months between meetings. At the end of the first five sessions, of which there are not, and never will be, any published transactions to humiliate us, we elected to meet but once a year, keeping our gang together as far as possible, replacing a few who were lost to us, and inviting a few speakers to help us where we needed it most.
By the time we made this change we had already discovered that what was crucial in all problems of negative feedback, in any servo system, was not the energy returned, but the information about the outcome of the action to date. Our theme shifted slowly and inevitably to a field where Norbert Wiener and his friends still were the presiding genii. It became clear that every signal had two aspects, one physical, the other mental, formal, or logical. This turned our attention to computing machinery, to the storage of information, and to probabilistic considerations including the quantity of information as negative entropy. Here belong questions of coding, of languages and their structure, of how they are learned and how they are understood, including the theme of this, our last meeting, in which we expect to range from the most formal aspects of semantics to its most contental contact with the world about us. For all our sakes I would Wiener were still with us, but I understand that he is at present happily immersed in the clear and serene domain of relativity.
Page 3
To refresh our memories and inform our guests, let me recapitulate in logical rather than chronological order, the topics we have considered, and on which I believe the majority of us have been of one mind, to the limit of our ability to understand the evidence or the theory. You may find the consensus more commonly in my statement than in our published transactions. I am compelled to watch your faces, and to guess, before I let you have the floor, whether you will speak to the point or not, and from which side of the fence. With malice aforethought I have let loose the malcontent because he had not got the point, because he disagreed, or because he doubted, however unreasonably. Before I knew you so well this happened by accident, but as time went on and we learned one another’s languages, I had learned that it was the best way to keep our wits on their toes. Our guests have been remarkably good sports, but the transcriptions of our discussions are inevitably a hash of misunderstandings and altercations instead of argument. Of those who understood and agreed the transaction reveals nary a trace.
Transcription note: The handwritten substitutions on page 3 are incorporated: ‘the consensus’ replaces ‘it’, and ‘trace’ replaces ‘word’. ‘Contental’ on page 2 is as typed. Line-break hyphenation and marginal production notes are omitted.

You’re invited to: Method Showcase: Logosofia, Software for Collective Inquiry and Decision-Making

https://guild.host/events/method-showcase-logosofia-tu5ov

These Foundations of Systems Science: Key Researchers modules provide concise introductions to the work of important contributors to systems science.

Researchers – Rational-Understanding.com

ISSS – Education Resources

Education Resources

Modern supply chains must balance operational efficiency, resilience and sustainability, within increasingly complex and interconnected environments – Meriel Davies

https://www.linkedin.com/posts/merieldavies_exploring-systems-thinking-in-supply-chains-ugcPost-7508619636570238976-elI7/?utm_source=share&utm_medium=member_desktop&rcm=ACoAAACuq-oBecVFDW6PCf3lkoG-peMeuLBeoho

“Coding Society: Programmatic Encounters Between Information Systems and Social Theory” Dr Steffen Roth

Release | Special Issue of IT&P on “Coding Society: Programmatic Encounters Between Information Systems and Social Theory” – Dr Steffen Roth

ISSS ‘foundations of systems science’ short introductory papers

have recently been developing a new series of course modules introducing the work of some of the researchers who have made important contributions to the foundations of systems science.

The first five modules cover Ludwig von Bertalanffy, W. Ross Ashby, Alexander Bogdanov, Ilya Prigogine and Roy Bhaskar. Together they introduce important ideas concerning systems and organisation, states and transformations, regulation and constraint, open systems and thermodynamics, causality, emergence and the relationship between general and more specialised systems theories.

The modules are intended both for people new to systems science and for those already familiar with the field who would like a concise way of comparing different theoretical traditions.

Each module contains a short biography and principal publications, followed by the researcher’s key definitions and propositions. An important feature is the distinction between ideas that may be applicable to General Systems Theory and those whose validity depends upon particular kinds of systems. The researcher’s original concepts are also translated into a common systems idiom, while retaining the original terminology so that similarities should not be mistaken for equivalence.

This comparative approach has another purpose. Systems science has developed through many partly separate intellectual traditions, often using different terminology for related ideas. Representing the contributions of major researchers in a consistent form makes it easier to identify genuine areas of agreement, differences that need to be understood, and questions that remain unresolved. The aim is therefore not only to study the history of systems science, but to use that history as evidence for its continuing development.

Further researcher modules will be added progressively. The course modules are open access and are available in two ways:

Open access (self-paced): https://rational-understanding.com/researchers/

Supported learning via Google Classroom through the ISSS Student SIG
Those in full-time or part-time education are especially encouraged to join the Student SIG, where they can benefit from guidance by experienced systems scientists, discussion with fellow learners, and access to a wider international community. To join go to: https://www.isss.org/home