Differential Logic, Dynamic Systems, Tangent Functors • 1

People interested in category theory as applied to systems may wish to check out the following article, reporting work I carried out while engaged in a systems engineering program at Oakland University.

The problem addressed is a longstanding one, that of building bridges to negotiate the gap between qualitative and quantitative descriptions of complex phenomena, like those we meet in analyzing and engineering systems, especially intelligent systems endowed with a capacity for processing information and acquiring knowledge of objective reality.

One of the ways this problem arises has to do with describing change in logical, qualitative, or symbolic terms, long before we grasp the reality beneath the appearances firmly enough to cast it in measured, quantitative, real number form.

Development on the quantitative shore got no further than a Sisyphean beachhead until the discovery/invention of differential calculus by Leibniz and Newton, after which things advanced by leaps and bounds.

And there’s our clue what we need to do on the qualitative shore, namely, to discover/invent the missing logical analogue of differential calculus.

With that preamble …

Differential Logic and Dynamic Systems

This article develops a differential extension of propositional calculus and applies it to a context of problems arising in dynamic systems.  The work pursued here is coordinated with a parallel application that focuses on neural network systems, but the dependencies are arranged to make the present article the main and the more self-contained work, to serve as a conceptual frame and a technical background for the network project.

Resources

cc: Cybernetics (1) (2)OntologPeirce ListStructural ModelingSystems Science

Posted in Amphecks, Boolean Functions, C.S. Peirce, Cactus Graphs, Category Theory, Cybernetics, Differential Analytic Turing Automata, Differential Calculus, Differential Logic, Discrete Dynamical Systems, Dynamical Systems, Graph Theory, Hill Climbing, Hologrammautomaton, Information Theory, Inquiry Driven Systems, Intelligent Systems, Knowledge Representation, Laws of Form, Logic, Logical Graphs, Mathematics, Minimal Negation Operators, Painted Cacti, Peirce, Propositional Calculus, Propositional Equation Reasoning Systems, Spencer Brown, Systems, Visualization | Tagged , , , , , , , , , , , , , , , , , , , , , , , , , , , , , | 14 Comments

Pragmatic Semiotic Information • Discussion 3

Re: Ontolog ForumJFS

What I find lacking in these static ontological hierarchies is the dynamic, functional, transformational side of scientific inquiry, the process that produces the product known as knowledge.  If sciences are bodies of organized knowledge, what is the physiology of those bodies?  That is the variety of systems theory I learned in my schools, focusing on the states of systems and how they change over time.

When we apply that systems perspective to information systems, knowledge systems, systems of belief, received opinion, whatever, the state under investigation is a state of information, knowledge, and so on, and the question becomes, “What influences and operations actually do and optimally ought to update that state of information over time?”

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Posted in Abduction, C.S. Peirce, Comprehension, Deduction, Definition, Determination, Extension, Hypothesis, Icon Index Symbol, Induction, Inference, Information, Information = Comprehension × Extension, Inquiry, Intension, Logic, Logic of Science, Peirce, Pragmatism, Scientific Method, Semiotic Information, Semiotics, Sign Relations | Tagged , , , , , , , , , , , , , , , , , , , , , , | 8 Comments

Pragmatic Semiotic Information • Discussion 2

I’ve been following the discussion on the Sys Sci list that asks the question, “What Is Systems Science?”.  I haven’t found the time to join in yet but it is very interesting to me on account of the fact my work on Inquiry Driven Systems for the last 30 years or so can be seen to ask the converse question, “How Is Science a (Cybernetic or Dynamic) System?”.

The idea that sciences operate as (some order of) cybernetic systems is nothing new but there remains a lot of work to do detailing that insight and especially building intelligent software systems that assist scientific research by availing themselves of that task and user model.

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Posted in Abduction, C.S. Peirce, Comprehension, Deduction, Definition, Determination, Extension, Hypothesis, Icon Index Symbol, Induction, Inference, Information, Information = Comprehension × Extension, Inquiry, Intension, Logic, Logic of Science, Peirce, Pragmatism, Scientific Method, Semiotic Information, Semiotics, Sign Relations | Tagged , , , , , , , , , , , , , , , , , , , , , , | 12 Comments

Survey of Semiotic Theory Of Information • 3

This is a Survey of previous blog and wiki posts on the Semiotic Theory Of Information.  All my projects are exploratory in essence but this line of inquiry is more open-ended than most.  The question is:

What is information and how does it impact the spectrum of activities that answer to the name of inquiry?

Setting out on what would become his lifelong quest to explore and explain the “Logic of Science”, C.S. Peirce pierced the veil of historical confusions obscuring the issue and fixed on what he called the “laws of information” as the key to solving the puzzle.  This was in 1865 and 1866, detailed in his lectures at Harvard University and the Lowell Institute.

Fast forward to the present and I see the Big Question as follows.  Having gone through the exercise of comparing and contrasting Peirce’s theory of information, however much it yet remains in a rough-hewn state, with Shannon’s paradigm so pervasively informing the ongoing revolution in our understanding and use of information, I have reason to believe Peirce’s idea is root and branch more general and has the potential, with due development, to resolve many mysteries still bedeviling our grasp of inference, information, and inquiry.

Inference, Information, Inquiry

Excursions

Blog Dialogs

Reference

Posted in Abduction, C.S. Peirce, Communication, Control, Cybernetics, Deduction, Determination, Discovery, Doubt, Epistemology, Fixation of Belief, Induction, Information, Information = Comprehension × Extension, Information Theory, Inquiry, Inquiry Driven Systems, Inquiry Into Inquiry, Interpretation, Invention, Knowledge, Learning Theory, Logic, Logic of Relatives, Logic of Science, Mathematics, Peirce, Philosophy, Philosophy of Science, Pragmatic Information, Probable Reasoning, Process Thinking, Relation Theory, Scientific Inquiry, Scientific Method, Semeiosis, Semiosis, Semiotic Information, Semiotics, Sign Relational Manifolds, Sign Relations, Surveys, Triadic Relations, Uncertainty | Tagged , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , | 1 Comment

Sign Relations, Triadic Relations, Relations • 11

Re: Ontolog ForumRavi Sharma

In pursuing applications of pragmatic semiotics to scientific research the following distinctions are crucial.

We have the relational roles known as Object, Sign, and Interpretant Sign.  These are places or roles a thing may occupy in a given moment in a given context.  They are not absolute essences or fixed ontological characters.

We can formalize the “moment” mentioned above as an ordered triple (o, s, i), where o is the object, s is the sign, and i is the interpretant sign in view.

We can formalize the “context” mentioned above as a set of ordered triples, each one having the form (o, s, i).  This set is called a sign relation.

We can formalize a given sign relation L as a subset of a cartesian product, L \subseteq O \times S \times I, where O is the set of objects under consideration in a given context, S is the set of signs, and I is the set of interpretant signs being considered in the same context.

It is critically important to distinguish the triples (o, s, i), which may be called elementary sign relations, from the sign relation proper, L \subseteq O \times S \times I.  Among other things, this is important because sets have properties their elements do not and it amounts to a category mistake to confuse the two levels.  In particular, the properties of reducibility and irreducibility are defined at the level of whole sign relations, not their individual elements.

Another very important distinction we have to keep in mind is the difference between the formal objects we are discussing and the formal signs and syntax we use to discuss them.  I’ll speak to that point next time.

Resources

Logic Syllabus Sign Relations
Relational Concepts Triadic Relations
Relation Reduction Relation Theory

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Posted in C.S. Peirce, Inquiry, Knowledge Representation, Logic, Logic of Relatives, Mathematics, Pragmatism, Relation Theory, Semiosis, Semiotics, Sign Relations, Triadic Relations, Visualization | Tagged , , , , , , , , , , , , | 16 Comments

Pragmatic Semiotic Information • Discussion 1

Re: Systems ScienceKenneth Lloyd

Ken’s comment made me realize that the notation \mathrm{Info}(X) is probably not the best.  It tends to mislead us into thinking we already have X in hand, in other words, that we already have perfect information about X and are merely abstracting \mathrm{Info}(X) as some derivative of it.  But that is not the sort of situation we are concerned with here.

It might be better to say that \mathrm{Info} is all the information we have at a given moment of investigation and X abstracts the portion of \mathrm{Info} that has to do with X.  That might lead us to notate it as X(\mathrm{Info}).  This brings to mind the way we speak of observables in physics, as operators on the wave function that represents the total state of the system observed.

If I had to concoct an informal linguistic example — which I’d do solely by way of rough analogy to the formal mathematical cases we’d have much hope of resolving in our lifetimes — I’d say the sorts of X we’re facing are what used to be called definite descriptions like “Desdemona’s infidelity” or “Manafort’s guilt on the 10 mistried counts”.

In those sorts of situations, discussed to death in years gone by, what a modicum of pragmatic-semiotic insight adds to the mix is that all descriptions are indefinite to some degree, all syntax lax to some extent.

Not too surprisingly, we find foresights of that insight throughout Peirce’s work.  And that is what I’ll be getting around to presently.

Posted in Abduction, C.S. Peirce, Comprehension, Deduction, Definition, Determination, Extension, Hypothesis, Icon Index Symbol, Induction, Inference, Information, Information = Comprehension × Extension, Inquiry, Intension, Logic, Logic of Science, Peirce, Pragmatism, Scientific Method, Semiotic Information, Semiotics, Sign Relations | Tagged , , , , , , , , , , , , , , , , , , , , , , | 8 Comments

Pragmatic Semiotic Information • Ψ

I remember it was back in ’76 when I began to notice a subtle shift of focus in the computer science journals I was reading, from discussing X to discussing Information About X, a transformation I noted mentally as X \to \mathrm{Info}(X) whenever I ran across it.  I suppose that small arc of revolution had been building for years but it struck me as crossing a threshold to a more explicit, self‑conscious stage about that time.

cc: FB | SemeioticsLaws of FormMathstodonOntologAcademia.edu
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Posted in Abduction, C.S. Peirce, Comprehension, Deduction, Definition, Determination, Extension, Hypothesis, Icon Index Symbol, Induction, Inference, Information, Information = Comprehension × Extension, Inquiry, Intension, Logic, Logic of Science, Peirce, Pragmatic Semiotic Information, Pragmatism, Scientific Method, Semiotics, Sign Relations | Tagged , , , , , , , , , , , , , , , , , , , , , , | 6 Comments

Inquiry Driven Systems • Comment 5

Re: Ontolog ForumBruce Schuman

I would call that the pragmatic semiotic point of view and not find anything shocking in it.

One can find earlier foreshadowings — Plato’s Cratylus and the Stoic lekton are often mentioned in this connection — but the clearest precursor of the pragmatic semiotic perspective occurs in Aristotle’s recognition of the triadic sign relation, most succinctly in his treatise On Interpretation.

Here’s the essay Susan Awbrey and I wrote on that, tracing the continuities of pragmatic semiotics from Aristotle up through Peirce and Dewey and teasing out the intimate relationship between the theory of signs and the theory of inquiry.

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Posted in Animata, Artificial Intelligence, C.S. Peirce, Cybernetics, Inquiry, Inquiry Driven Systems, Inquiry Into Inquiry, Intelligent Systems, Learning Systems, Logic, Logical Graphs, Peirce, Semiotics, Sign Relations, Visualization | Tagged , , , , , , , , , , , , , , | 9 Comments

Sign Relations, Triadic Relations, Relations • 10

Re: Ontolog ForumRavi Sharma

The words predicate, proposition, relation, and so on are affected by many variations in usage.  Some of their uses are associated with philosophical habits unlikely to change any time soon.  But there are a number of compromise positions and technical strategies that allow us to negotiate between the variant practices and render them understandable in terms of each other.

I found that start of a reply in my phone’s draft folder.  It’s been a month’s hard labor putting our house on the market and it looks like the busy-ness is just getting under way — so I’ll post that much to remind me what I need to do when I get my concentration and computer back on line.

Resources

Logic Syllabus Sign Relations
Relational Concepts Triadic Relations
Relation Reduction Relation Theory

cc: Ontolog ForumStructural ModelingSystems Science

Posted in C.S. Peirce, Icon Index Symbol, Knowledge Representation, Logic, Logic of Relatives, Mathematics, Ontology, Peirce, Pragmatism, Relation Theory, Semiosis, Semiotics, Sign Relations, Triadic Relations, Triadicity | Tagged , , , , , , , , , , , , , , | 14 Comments

Sign Relations, Triadic Relations, Relations • 9

Re: Ontolog ForumRonald Stamper

Concrete examples are very instructive in this arena, and when it comes to refutations a single counter-example serves to puncture many a fallacious general proposition.

Here’s a couple of articles, illustrated with concrete examples of a fundamental character, affording a bare minimum introduction to triadic relations along with their reducibility and irreducibility properties.

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Posted in C.S. Peirce, Icon Index Symbol, Knowledge Representation, Logic, Logic of Relatives, Mathematics, Ontology, Peirce, Pragmatism, Relation Theory, Semiosis, Semiotics, Sign Relations, Triadic Relations, Triadicity | Tagged , , , , , , , , , , , , , , | 14 Comments