Updated rough draft systems | complexity | cybernetics reading list

See my post on LinkedIn (replicated below) and join the discussion there:
https://www.linkedin.com/posts/antlerboy_rough-draft-systemscomplexitycybernetics-activity-7246779585235664896-64Xz

pdf: https://www.dropbox.com/scl/fi/85zlt0t6ph8qarx7d7gic/2024-09-27-rough-draft-systems-thinking-reading-list-v1.1BT.pdf?rlkey=3rfavacsy4n6sl8j0pyedph1q&st=qagh1418&dl=0
Commentable Google Doc: https://docs.google.com/document/d/1Tt8GgQQj4Qw4HnR7DxKeF370o_HlDlpv/edit?usp=sharing&ouid=115526108239573817578&rtpof=true&sd=true

How do you get into systems | complexity | cybernetics?

Here’s my rough reading list.

There are a lot of answers to the question, many of them connecting with some kind of disjointing break from ‘normal’ ways of seeing and being. Anything from being bullied at school to being dyslexic. Being in an outsider group. Naively applying thinking from one domain to another. Studying a technical problem long enough to suddenly see it in a completely different light – then either have your breakthrough celebrated or rejected.

It isn’t some mystic thing and it doesn’t require to you break from polite society. But it is one of the richest, weirdest, most diverse and challenging, inspiring and confounding, confronting and validating things you can study.

I’m often asked for a reading list for people interested in the field, and I usually suck my teeth. Some of the books are engaging, insightful, humorous, relevant. Others are dry as old twigs but less likely to kindle a spark.

Really, it depends on you and your context – as David Ing says, it’s better to talk of the thinkers and their individual constellations of interests, history, learning, and personal tendencies than it is to talk of schools and fields and separate places.

And even presenting this reading list, I’d say that I’d recommend Terry Pratchett, Douglas Adams, Ursula K Le Guin, Italo Calvino, Jorge Luis Borges, Star Trek, old 20th Century Sci-Fi and Apartheid-era South African writing, art movies and music more – if you happen to be a bit like me. You’ll find your thing, if you’re interested.

But. The books are there – and many of them are *really good*. Top ones I’d recommend came out this decade

  • Hoverstadt’s Grammar of Systems
  • Jackson’s Critical Systems Thinking: A practitioner’s Guide
  • Opening the box – a slim little thing from SCiO colleagues
  • Essential Balances by Velitchkov

The attached list is a bit systems-practice focused. It is also too long and incomplete and partial simply for lack of time and energy.

There are *so many* flavours of systems thinking / complexity / cybernetics – do yourself a favour and don’t flog through stuff that doesn’t work for you, find things that bring your mind alive. Start with the articles and skim through.

But do start, because you will find in here the thinking and tools to find better ways of doing things for organisations, societies, the ecosystem, for people – and a lot of fun.

Tip: to save the pdf, hover over the image of the first page and find the rectangle bottom right – click that and it should go full screen. Top right you’ll have a download option, which when clicked will then resolve into a download button… (which might then open in your browser, but at least as a proper pdf you can save).

So… deep breath… what would you recommend? What do you think is missing?

#systems-thinking

Jesuit Cybernetics Culture Research Unit (JCCRU) – call for abstracts

Jesuit Cybernetics Culture Research Unit (JCCRU)
 

CALL FOR ABSTRACTS

Patristics, Medieval, and Renaissance Conference
Villanova University (Online & In-Person) 
October 9–11, 2026 (panel schedule, date, and time TBA) 


This panel of the 2026 Patristics, Medieval, and Renaissance Conference seeks to explore and develop a new Jesuit Cybernetic critique of the Cybernetic Culture Research Unit (CCRU) (c. 1995–2000) for the purpose of renewing the hidden theological tradition of cybernetic theory in light of Trinitarian Ontology.

JCCRU
https://methexisinstitute.com/jccru

Information = Comprehension × Extension • Selection 6

Selection 1 opens with Peirce proposing, “The information of a term is the measure of its superfluous comprehension”, and it closes with his offering the following promise.

I am going, next, to show that inference is symbolization and that the puzzle of the validity of scientific inference lies merely in this superfluous comprehension and is therefore entirely removed by a consideration of the laws of information.

Summing up his account to this point, Peirce appears confident he’s kept his promise.  Promising on our own account to give it another pass, we’ll let him have the last word — for now.

We have now seen how the mind is forced by the very nature of inference itself to make use of induction and hypothesis.

But the question arises how these conclusions come to receive their justification by the event.  Why are most inductions and hypotheses true?  I reply that they are not true.  On the contrary, experience shows that of the most rigid and careful inductions and hypotheses only an infinitesimal proportion are never found to be in any respect false.

And yet it is a fact that all careful inductions are nearly true and all well‑grounded hypotheses resemble the truth;  why is that?  If we put our hand in a bag of beans the sample we take out has perhaps not quite but about the same proportion of the different colours as the whole bag.  Why is that?

The answer is that which I gave a week ago.  Namely, that there is a certain vague tendency for the whole to be like any of its parts taken at random because it is composed of its parts.  And, therefore, there must be some slight preponderance of true over false scientific inferences.  Now the falsity in conclusions is eliminated and neutralized by opposing falsity while the slight tendency to the truth is always one way and is accumulated by experience.  The same principle of balancing of errors holds alike in observation and in reasoning.

(Peirce 1866, pp. 470–471)

References

  • Peirce, C.S. (1866), “The Logic of Science, or, Induction and Hypothesis”, Lowell Lectures of 1866, pp. 357–504 in Writings of Charles S. Peirce : A Chronological Edition, Volume 1, 1857–1866, Peirce Edition Project, Indiana University Press, Bloomington, IN, 1982.
  • Peirce, C.S. (1867), “Upon Logical Comprehension and Extension”, Proceedings of the American Academy of Arts and Sciences, Vol. 7, pp. 416–432.  ArchiveOnline.

Resources

cc: Academia.eduCyberneticsLaws of Form • Mathstodon
cc: Research GateStructural ModelingSystems ScienceSyscoi

#abduction, #c-s-peirce, #comprehension, #deduction, #extension, #hypothesis, #icon-index-symbol, #induction, #inference, #information-comprehension-x-extension, #inquiry, #intension, #logic, #peirces-categories, #pragmatic-semiotic-information, #pragmatism, #scientific-method, #semiotics, #sign-relations

Information = Comprehension × Extension • Selection 5

Peirce now turns to his example of a conjunctive term, which he uses to show the connection between iconic reference and abductive inference.

A similar line of thought may be gone through in reference to hypothesis.  In this case we must start with the consideration of the term:

spherical, bright, fragrant, juicy, tropical fruit.

Such a term, formed by the sum of the comprehensions of several terms, is called a conjunctive term.  A conjunctive term has no extension adequate to its comprehension.  Thus the only spherical bright fragrant juicy tropical fruit we know is the orange and that has many other characters besides these.  Hence, such a term is of no use whatever.  If it occurs in the predicate and something is said to be a spherical bright fragrant juicy tropical fruit, since there is nothing which is all this which is not an orange, we may say that this is an orange at once.  On the other hand, if the conjunctive term is subject and we know that every spherical bright fragrant juicy tropical fruit necessarily has certain properties, it must be that we know more than that and can simplify the subject.  Thus a conjunctive term may always be replaced by a simple one.

So if we find that light is capable of producing certain phenomena which could only be enumerated by a long conjunction of terms, we may be sure that this compound predicate may be replaced by a simple one.  And if only one simple one is known in which the conjunctive term is contained, this must be provisionally adopted.

(Peirce 1866, p. 470)

References

  • Peirce, C.S. (1866), “The Logic of Science, or, Induction and Hypothesis”, Lowell Lectures of 1866, pp. 357–504 in Writings of Charles S. Peirce : A Chronological Edition, Volume 1, 1857–1866, Peirce Edition Project, Indiana University Press, Bloomington, IN, 1982.
  • Peirce, C.S. (1867), “Upon Logical Comprehension and Extension”, Proceedings of the American Academy of Arts and Sciences, Vol. 7, pp. 416–432.  ArchiveOnline.

Resources

cc: Academia.eduCyberneticsLaws of Form • Mathstodon
cc: Research GateStructural ModelingSystems ScienceSyscoi

#abduction, #c-s-peirce, #comprehension, #deduction, #extension, #hypothesis, #icon-index-symbol, #induction, #inference, #information-comprehension-x-extension, #inquiry, #intension, #logic, #peirces-categories, #pragmatic-semiotic-information, #pragmatism, #scientific-method, #semiotics, #sign-relations

Information = Comprehension × Extension • Selection 4

Selection 3 showed how it was possible to combine symbols in such a way as to end up with species of representation outside the class of genuine symbols and introduced the concepts of conjunctive terms and disjunctive terms to describe two ways of doing that.  The essence of wit being quickly grasping the middle term, Peirce’s wit fastens on those terms to highlight the links between manners of representation and modes of inference.

Selection 4 finds Peirce in the middle of articulating the connection between indexical reference and inductive inference, using examples of disjunctive terms as pivotal cases.

Accordingly, if we are engaged in symbolizing and we come to such a proposition as “Neat, swine, sheep, and deer are herbivorous”, we know firstly that the disjunctive term may be replaced by a true symbol.  But suppose we know of no symbol for neat, swine, sheep, and deer except cloven‑hoofed animals.  There is but one objection to substituting this for the disjunctive term;  it is that we should, then, say more than we have observed.  In short, it has a superfluous information.

But we have already seen that this is an objection which must always stand in the way of taking symbols.  If therefore we are to use symbols at all we must use them notwithstanding that.  Now all thinking is a process of symbolization, for the conceptions of the understanding are symbols in the strict sense.  Unless, therefore, we are to give up thinking altogether we must admit the validity of induction.  But even to doubt is to think.  So we cannot give up thinking and the validity of induction must be admitted.

(Peirce 1866, p. 469)

References

  • Peirce, C.S. (1866), “The Logic of Science, or, Induction and Hypothesis”, Lowell Lectures of 1866, pp. 357–504 in Writings of Charles S. Peirce : A Chronological Edition, Volume 1, 1857–1866, Peirce Edition Project, Indiana University Press, Bloomington, IN, 1982.
  • Peirce, C.S. (1867), “Upon Logical Comprehension and Extension”, Proceedings of the American Academy of Arts and Sciences, Vol. 7, pp. 416–432.  ArchiveOnline.

Resources

cc: Academia.eduCyberneticsLaws of Form • Mathstodon
cc: Research GateStructural ModelingSystems ScienceSyscoi

#abduction, #c-s-peirce, #comprehension, #deduction, #extension, #hypothesis, #icon-index-symbol, #induction, #inference, #information-comprehension-x-extension, #inquiry, #intension, #logic, #peirces-categories, #pragmatic-semiotic-information, #pragmatism, #scientific-method, #semiotics, #sign-relations

Rob Young on ARTORGA – the endeavour of Artifical Organisatism (and other connections from Rebraiding Cybernetics and AI)

So much to unpack from the Re-braiding Sympoisum#1:”The Split”, held on 25 March 2026, but I’ll jump-in with some explorations on Artorga as a good place to build on?

From Symposium #1 – Thank you to fellow attendee Anthony Weiss for making the connection to ARTORGA as being relevant to Re-braiding, and to Bernard Scott’s direct insights on the organisation.

(#1 assets available here: https://tinyurl.com/Cyber-AI-Rebraid  including the Video of the #1 presentations)


I’ve dug into Artorga a bit, and I found it fascinating and rich with leads to Re-braiding, and historic cybernetics in general.

In terms of Hugh and Paul’s Re-braiding timeline (available on the Re-braiding repository), Artorga seems to have been active from 1958 to ~1970, right at the overlap of Cybernetics and Symbolic AI

Artorga stood for the endeavour of Artificial Organisms, and broadly speaking, ARTORGA was a…

(a) Laboratory/ series of experiments …

(b) that “… sought to revise cybernetics’ disciplinary history, claiming its origins in biology rather than information theory and operations research.” (Cartelli, 2023)

(c) running from 1958 – ~1970

(d) Steered by: Oliver Wells; and an Advisory Group involving: Stafford Beer, Gordon Pask, Heinz von Foerster.

(e) Producing:

  • A network of interested people.
  • A mainly monthly Newsletter, called ‘Communications’
  • Pamphlets
  • Books
  • Conferences
  • Products (the Drogulus)
  • An ‘Investment group’

The most comprehensive review on Artorga I’ve found so far on is this reference:

Machines, Fabrics, and Models: ARTORGA and Biology’s Cybernetic Utopia, by Gregory Elias Cartelli, 2023, 29 pages. I attach a copy that someone has extracted (available online here) (also of interest to CMU’s Architecture Code Lab?)

(the full, main publication is Open Access, and is freely available here: UTOPIA COMPUTER: The “New” in Architecture, 2023, 332 pages: https://verlag.tu-berlin.de/en/produkt/978-3-7983-3270-6/ )

The other fun thing found, is a video of:

            Automatic Mechanical Self Replication (Part 1), Lionel Penrose, 1958

which really made alive for me, the Drogulus mentioned frequently in the Penrose papers and Oliver Wells communications from Artorga, and the whole pursuit of self-reproduction pursued by that early Cybernetic period.

I think this Penrose machine also speaks to Jill’s point of Cybernetics seeking general, self-reproducing behaviours, as a Cybernetic paradigm, in tension with AI’s different paradigm.

There seem to two main Archives which have Artorga material (1. Wellcome Collections > L. S. Penrose Papers > Artorga, and 2. University of Illinois Archives > Heinz von Foerster Papers > Artorga ).

If anyone else is looking at Artorga, and or can help fill in the missing copies of the Communication newsletter, then I have compiled (,what I call, ) a ‘finding-aid’ on Artorga resources: (available here: Artorga-Collections). I also attach a latest copy to this email.

There are a lot of references to other foundational archival aspects. For instance, lots of mentions to the Namur meetings that Mike mentioned; and to meetings on self-organization, which also ties in to Mike’s foundational s-o theme that he presented on.

Many copies of the Artorga Newsletter are missing – so if anybody can help with that, please do get in contact.

There is a lot more emerging from this Artorga lens, including some tensions between Cybernetics and AI from that time. It strikes me that, unless we investigate (and mitigate somehow) these tensions from the past, then we may be ‘doomed’ to repeat them? That may be for future discussions, but for now, I am enjoying the hopes and aspirations that Artorga endeavoured, as Cartelli writes: “ARTORGA was a series of experiments that sought to revise cybernetics’ disciplinary history, claiming its origins in biology rather than information theory and operations research” (Cartelli, 2023, page 213).

Thanks to Paul Pangaro and the team for organising this Re-braiding Project.

Best regards,

Rob

Robert Young

Cambridge, UK

Information = Comprehension × Extension • Selection 3

Selection 3 opens with Peirce remarking a critical property of genuine symbols — the class of symbols is not closed under combinations.  In particular, there are logical conjunctions of symbols and logical disjunctions of symbols which are not themselves genuine symbols.

Applying this paradigm to terms, Peirce introduces two sets of examples under the headings of conjunctive terms and disjunctive terms designed to illustrate the correspondence between manners of representation and modes of inference.

Yet there are combinations of words and combinations of conceptions which are not strictly speaking symbols.  These are of two kinds of which I will give you instances.  We have first cases like:

man and horse and kangaroo and whale,

and secondly, cases like:

spherical bright fragrant juicy tropical fruit.

The first of these terms has no comprehension which is adequate to the limitation of the extension.  In fact, men, horses, kangaroos, and whales have no attributes in common which are not possessed by the entire class of mammals.  For this reason, this disjunctive term, man and horse and kangaroo and whale, is of no use whatever.  For suppose it is the subject of a sentence;  suppose we know that men and horses and kangaroos and whales have some common character.  Since they have no common character which does not belong to the whole class of mammals, it is plain that mammals may be substituted for this term.  Suppose it is the predicate of a sentence, and that we know that something is either a man or a horse or a kangaroo or a whale;  then, the person who has found out this, knows more about this thing than that it is a mammal;  he therefore knows which of these four it is for these four have nothing in common except what belongs to all other mammals.  Hence in this case the particular one may be substituted for the disjunctive term.  A disjunctive term, then, — one which aggregates the extension of several symbols, — may always be replaced by a simple term.

Hence if we find out that neat are herbivorous, swine are herbivorous, sheep are herbivorous, and deer are herbivorous;  we may be sure that there is some class of animals which covers all these, all the members of which are herbivorous.  Now a disjunctive term — such as neat swine sheep and deer, or man, horse, kangaroo, and whale — is not a true symbol.  It does not denote what it does in consequence of its connotation, as a symbol does;  on the contrary, no part of its connotation goes at all to determine what it denotes — it is in that respect a mere accident if it denote anything.  Its sphere is determined by the concurrence of the four members, man, horse, kangaroo, and whale, or neat swine sheep and deer as the case may be.

Now those who are not accustomed to the homologies of the conceptions of men and words, will think it very fanciful if I say that this concurrence of four terms to determine the sphere of a disjunctive term resembles the arbitrary convention by which men agree that a certain sign shall stand for a certain thing.  And yet how is such a convention made?  The men all look upon or think of the thing and each gets a certain conception and then they agree that whatever calls up or becomes an object of that conception in either of them shall be denoted by the sign.

In the one case, then, we have several different words and the disjunctive term denotes whatever is the object of either of them.  In the other case, we have several different conceptions — the conceptions of different men — and the conventional sign stands for whatever is an object of either of them.  It is plain the two cases are essentially the same, and that a disjunctive term is to be regarded as a conventional sign or index.  And we find both agree in having a determinate extension but an inadequate comprehension.

(Peirce 1866, pp. 468–469)

References

  • Peirce, C.S. (1866), “The Logic of Science, or, Induction and Hypothesis”, Lowell Lectures of 1866, pp. 357–504 in Writings of Charles S. Peirce : A Chronological Edition, Volume 1, 1857–1866, Peirce Edition Project, Indiana University Press, Bloomington, IN, 1982.
  • Peirce, C.S. (1867), “Upon Logical Comprehension and Extension”, Proceedings of the American Academy of Arts and Sciences, Vol. 7, pp. 416–432.  ArchiveOnline.

Resources

cc: Academia.eduCyberneticsLaws of Form • Mathstodon
cc: Research GateStructural ModelingSystems ScienceSyscoi

#abduction, #c-s-peirce, #comprehension, #deduction, #extension, #hypothesis, #icon-index-symbol, #induction, #inference, #information-comprehension-x-extension, #inquiry, #intension, #logic, #peirces-categories, #pragmatic-semiotic-information, #pragmatism, #scientific-method, #semiotics, #sign-relations

The Best We Can Do – An Introduction to Designing Our Systems, Together – Mary Parker Follett Foundation (Shapiro, 2026)

Matthew Shapiro on linkedin:

The Mary Parker Follett Foundation / Capacity Building for Participatory Democracy


I’m happy to share The Best We Can Do: An Introduction to Designing Our Systems, Together. This unique booklet is an introduction to the participatory design of social and societal systems. Enjoy, and I’d love to hear from you about it, both in terms of feedback and regarding opportunities for undertaking the journey of participatory design.
https://lnkd.in/gH3HuuCs

Post | LinkedIn
https://www.linkedin.com/posts/matthew-shapiro-03576451_im-happy-to-share-the-best-we-can-do-an-share-7486474118624649216-kddQ/?utm_source=share&utm_medium=member_desktop&rcm=ACoAAACuq-oBecVFDW6PCf3lkoG-peMeuLBeoho
https://www.linkedin.com/safety/go/?url=https%3A%2F%2Flnkd.in%2FgH3HuuCs&urlhash=Xf1t&mt=7scZ9cWmoRvR_u7RaW7jDUkx_h3nPutWi_9_6NrWzxK9Zl-DU3LXPNZzMs9QFiZfPe4-c_zq6Py5ek7SuBcWh-kISQWwMpT0-2DmtxVWNeAD4YN0W1oO&isSdui=true&lipi=urn%3Ali%3Apage%3Ad_flagship3_detail_base%3BuTWm8N85S%2FWMWwQ31jpDxQ%3D%3D

Information = Comprehension × Extension • Selection 2

Over the course of Selection 1 Peirce introduces the ideas he needs to answer stubborn questions about the validity of scientific inference.  Briefly put, the validity of scientific inference depends on the ability of symbols to express superfluous comprehension, the measure of which Peirce calls information.

Selection 2 sharpens our picture of symbols as general representations, contrasting them with two species of representation whose characters fall short of genuine symbols.

For this purpose, I must call your attention to the differences there are in the manner in which different representations stand for their objects.

In the first place there are likenesses or copies — such as statues, pictures, emblems, hieroglyphics, and the like.  Such representations stand for their objects only so far as they have an actual resemblance to them — that is agree with them in some characters.  The peculiarity of such representations is that they do not determine their objects — they stand for anything more or less;  for they stand for whatever they resemble and they resemble everything more or less.

The second kind of representations are such as are set up by a convention of men or a decree of God.  Such are tallies, proper names, &c.  The peculiarity of these conventional signs is that they represent no character of their objects.

Likenesses denote nothing in particular;  conventional signs connote nothing in particular.

The third and last kind of representations are symbols or general representations.  They connote attributes and so connote them as to determine what they denote.  To this class belong all words and all conceptions.  Most combinations of words are also symbols.  A proposition, an argument, even a whole book may be, and should be, a single symbol.

(Peirce 1866, pp. 467–468)

References

  • Peirce, C.S. (1866), “The Logic of Science, or, Induction and Hypothesis”, Lowell Lectures of 1866, pp. 357–504 in Writings of Charles S. Peirce : A Chronological Edition, Volume 1, 1857–1866, Peirce Edition Project, Indiana University Press, Bloomington, IN, 1982.
  • Peirce, C.S. (1867), “Upon Logical Comprehension and Extension”, Proceedings of the American Academy of Arts and Sciences, Vol. 7, pp. 416–432.  ArchiveOnline.

Resources

cc: Academia.eduCyberneticsLaws of Form • Mathstodon
cc: Research GateStructural ModelingSystems ScienceSyscoi

#abduction, #c-s-peirce, #comprehension, #deduction, #extension, #hypothesis, #icon-index-symbol, #induction, #inference, #information-comprehension-x-extension, #inquiry, #intension, #logic, #peirces-categories, #pragmatic-semiotic-information, #pragmatism, #scientific-method, #semiotics, #sign-relations

Cybernetics Live: Tom Harris – Have we entered a New Normal? The physics, the feedbacks, the implications and the responses to our changing climate, 22 July 2026, 17:00 UK time, online, free

🌍 Cybernetics Live — Wednesday 22 July 2026, 17:00–19:00 BST (online)

Have we entered a New Normal? The physics, the feedbacks, the implications and the responses to our changing climate.

Speaker: Tom Harris

Using the very latest satellite data, Tom will walk through the physics of climate change: how the planet is out of energy balance, accumulating energy at an accelerating rate, and where that heat is going in different Earth systems.

The talk will cover:
🔹 The coming ‘Goliath’ El Niño, past events, and the phenomenon of temperature ratcheting — with predictions for the second half of this decade
🔹 Tipping points in the ocean currents and the Amazon rainforest, and the economic consequences of continued warming
🔹 The triad of measures still available to us: decarbonising the economy, removing greenhouse gases from the atmosphere, and deploying solar geoengineering

Tom has a PhD in neural computing from Brunel University — “back before it was called AI” — and has spent 25 years working across 200+ grant-funded projects including carbon capture, smart energy grids and energy efficiency. He now writes on climate science at his Substack, Climate Uncovered, translating complex scientific papers for a wider audience.

Free and open to all. Register on Zoom:
https://lnkd.in/dRtnrwE6

The Cybernetics Society — advancing the science of effective organisation since 1968.

#Cybernetics #ClimateChange #ClimateScience #SystemsThinking #TippingPoints #ElNino #Feedback

Post | LinkedIn

https://www.linkedin.com/posts/cybernetics-climatechange-climatescience-share-7482708902690779136-4l1U

Information = Comprehension × Extension • Selection 1

I am going to begin with six selections from Peirce’s Lectures of 1866 where he addresses the roles of signs informing sign relations and their relation to the rules of inference governing inquiries.

⁂ ⁂ ⁂

Our first text comes from Peirce’s Lowell Lectures of 1866, titled “The Logic of Science, or, Induction and Hypothesis”.  I still remember the first time I read those words and the light that lit up the page and my mind.

Let us now return to the information.  The information of a term is the measure of its superfluous comprehension.  That is to say that the proper office of the comprehension is to determine the extension of the term.  For instance, you and I are men because we possess those attributes — having two legs, being rational, &c. — which make up the comprehension of man.  Every addition to the comprehension of a term lessens its extension up to a certain point, after that further additions increase the information instead.

Thus, let us commence with the term colour;  add to the comprehension of this term, that of redRed colour has considerably less extension than colour;  add to this the comprehension of darkdark red colour has still less [extension].  Add to this the comprehension of non‑bluenon‑blue dark red colour has the same extension as dark red colour, so that the non‑blue here performs a work of supererogation;  it tells us that no dark red colour is blue, but does none of the proper business of connotation, that of diminishing the extension at all.  Thus information measures the superfluous comprehension.  And, hence, whenever we make a symbol to express any thing or any attribute we cannot make it so empty that it shall have no superfluous comprehension.

I am going, next, to show that inference is symbolization and that the puzzle of the validity of scientific inference lies merely in this superfluous comprehension and is therefore entirely removed by a consideration of the laws of information.

(Peirce 1866, p. 467)

References

  • Peirce, C.S. (1866), “The Logic of Science, or, Induction and Hypothesis”, Lowell Lectures of 1866, pp. 357–504 in Writings of Charles S. Peirce : A Chronological Edition, Volume 1, 1857–1866, Peirce Edition Project, Indiana University Press, Bloomington, IN, 1982.
  • Peirce, C.S. (1867), “Upon Logical Comprehension and Extension”, Proceedings of the American Academy of Arts and Sciences, Vol. 7, pp. 416–432.  ArchiveOnline.

Resources

cc: Academia.eduCyberneticsLaws of Form • Mathstodon
cc: Research GateStructural ModelingSystems ScienceSyscoi

#abduction, #c-s-peirce, #comprehension, #deduction, #extension, #hypothesis, #icon-index-symbol, #induction, #inference, #information-comprehension-x-extension, #inquiry, #intension, #logic, #peirces-categories, #pragmatic-semiotic-information, #pragmatism, #scientific-method, #semiotics, #sign-relations

The Cybernetic Brain: Gregory Bateson, Zen Schizophrenia, and Captain Beefheart (2012)

Adversarial dynamical systems characterize when data-driven learning succeeds or fails – Colbrook, Mezic and Stepanenko (2026)

Adversarial dynamical systems characterize when data-driven learning succeeds or fails

Matthew J. Colbrook, Igor Mezić & Alexei Stepanenko

Nature Communications 17, Article number: 5397 (2026) | Cite this article

Abstract

Many systems resist analytical modeling, making data-driven inference of dynamics important. Yet data-driven methods can fail to converge or generalize, leaving open a central question: When can system behavior be learned reliably from data, and when is such learning impossible? We answer this question using adversarial dynamical systems to identify the boundary between accessible and inaccessible regimes. In Koopman operator learning, a leading framework for representing nonlinear dynamics through linear spectral objects, we design optimal data-driven spectral algorithms with convergence and certification guarantees under conditions arising broadly in physical systems. This yields a convergence theory for Koopman-operator approximations and resolves a longstanding open problem in Koopman spectral analysis. Conversely, by constructing adversarial systems, we prove matching impossibility results: without these conditions, no single-sequence limiting procedure can guarantee learning, regardless of data quality. These results sharply characterize when data-driven spectral learning can succeed and when it must fail. We validate the framework on oscillators, chaotic fluid flows and Arctic sea ice concentration forecasting. In the latter, we uncover hidden modes of Arctic sea ice decline, deliver long-range forecasts with geographic error bounds, and outperform state-of-the-art dynamical and deep learning models at substantially lower computational cost, enabling real-time deployment on standard CPUs.

https://www.nature.com/articles/s41467-026-74220-8

Four life lessons from Jake Chapman, one of the most extraordinary humans I know – Parker (2025)

[I just came across this very moving tribute by coincidence)

Sophia Parker

Sep 14, 2025

Four life lessons from Jake Chapman, one of the most extraordinary humans I know | by Sophia Parker | Medium
https://sophiaparker-241.medium.com/four-life-lessons-from-jake-chapman-one-of-the-most-extraordinary-humans-i-know-c5e5f1d43d45

Murmurations: Journal of Transformative Systemic Practice – Vol. 10 No. 1 (2026): Transmaterial Worlding in Practice

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Following on from the 2019 paper in this journal, “Transmaterial Worlding. Beyond Human Systems” by Leah Salter and Gail Simon, we invited practitioners to discuss how they use these ideas in practice. This anthology of papers showcases a range of transmaterial worlding practices across different environments and explore the tensions of integrating inner and outer materialities and landscapes.

DOI: https://doi.org/10.28963/10.1

Published: 23-05-2026

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Home Archives Vol. 10 No. 1 (2026): Transmaterial Worlding in Practice
Following on from the 2019 paper in this journal, “Transmaterial Worlding. Beyond Human Systems” by Leah Salter and Gail Simon, we invited practitioners to discuss how they use these ideas in practice. This anthology of papers showcases a range of transmaterial worlding practices across different environments and explore the tensions of integrating inner and outer materialities and landscapes.

DOI: https://doi.org/10.28963/10.1

Published: 23-05-2026

Vol. 10 No. 1 (2026): Transmaterial Worlding in Practice | Murmurations: Journal of Transformative Systemic Practice
https://murmurations.cloud/index.php/pub/issue/view/22

Job: Executive Director – The Social Leadership Project, Remote, with travel throughout the UK, c £120k, closing date 14 August 2026

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