Category Archives: Intelligent Systems

Differential Logic, Dynamic Systems, Tangent Functors • Discussion 9

Re: FB | Systems Sciences • Kenneth Lloyd Dear Kenneth, Mulling over recent discussions put me in a pensive frame of mind and my thoughts led me back to my first encounter with category theory.  I came across the term … Continue reading

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 , , , , , , , , , , , , , , , , , , , , , , , , , , , , , | 1 Comment

Differential Logic, Dynamic Systems, Tangent Functors • Comment 1

Seeing as how quasi-neural models and the recurring issues of logical-symbolic vs. quantitative-connectionist paradigms have come round again, as they do every dozen or twenty years or so, I thought I might refer again to work I started initially in that … Continue reading

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 , , , , , , , , , , , , , , , , , , , , , , , , , , , , , | Leave a comment

Category Theory • Comment 1

I’m deep in the middle of upgrading my intro to sign relations and I am determined to stick to it this time but there will be a phase when it’s critical to bring category theory to bear on the development.  … Continue reading

Posted in Abstraction, C.S. Peirce, Category Theory, Differential Logic, Graph Theory, Group Theory, Inquiry Driven Systems, Intelligent Systems, Knowledge Representation, Logic, Logical Graphs, Mathematics, Peirce, Peirce's Categories, Research Technology, Scientific Method, Semiotics, Set Theory, Sign Relations, Systems Theory, Triadic Relations | Tagged , , , , , , , , , , , , , , , , , , , , | Leave a comment

Survey of Inquiry Driven Systems • 2

This is a Survey of previous blog and wiki posts on Inquiry Driven Systems, material I plan to refine toward a more compact and systematic treatment of the subject. An inquiry driven system is a system having among its state … Continue reading

Posted in Abduction, Action, Adaptive Systems, Aristotle, Artificial Intelligence, Automated Research Tools, Change, Cognitive Science, Communication, Cybernetics, Deduction, Descartes, Dewey, Discovery, Doubt, Education, Educational Systems Design, Educational Technology, Fixation of Belief, Induction, Information, Information Theory, Inquiry, Inquiry Driven Systems, Inquiry Into Inquiry, Intelligent Systems, Interpretation, Invention, Kant, Knowledge, Learning, Learning Theory, Logic, Logic of Science, Mathematics, Mental Models, Peirce, Pragmatic Maxim, Pragmatism, Process Thinking, Scientific Inquiry, Semiotics, Sign Relations, Surveys, Teaching, Triadic Relations, Visualization | Tagged , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , | 1 Comment

Abduction, Deduction, Induction, Analogy, Inquiry : 29

Re: Ontolog Forum Questions about Abduction in AI and Computer Science raised in the Ontolog Forum prompted me to look up previous discussions tracing the integral relationship among information, inquiry, and the three types of inference.  Here’s a sample of … Continue reading

Posted in Abduction, Analogy, Aristotle, Artificial Intelligence, C.S. Peirce, Computation, Computational Complexity, Deduction, Induction, Inquiry, Inquiry Driven Systems, Intelligent Systems, Logic, Peirce, Problem Solving, Semiotics | Tagged , , , , , , , , , , , , , , , | Leave a comment

Abduction, Deduction, Induction, Analogy, Inquiry : 28

Re: Ontolog Forum • Michael DeBellis • Adrian Walker MDB: I’m currently auditing a fascinating seminar at Berkeley on Semiotics and Information Theory.  Mostly we are focusing on C.S. Peirce although we’ve also explored other theories such as Shannon’s Information Theory.  … Continue reading

Posted in Abduction, Analogy, Aristotle, Artificial Intelligence, C.S. Peirce, Computation, Computational Complexity, Deduction, Induction, Inquiry, Inquiry Driven Systems, Intelligent Systems, Logic, Peirce, Problem Solving, Semiotics | Tagged , , , , , , , , , , , , , , , | Leave a comment

Ontologies As Systems • Comment 1

Re: Ontolog Forum • Joseph Simpson The reason I’ve been maintaining an interdisciplinary perspective in my postings to the Ontolog Forum, Structural Modeling, and Systems Science groups is because each one stresses a distinct but necessary aspect of a systems … Continue reading

Posted in C.S. Peirce, Cybernetics, Inquiry, Inquiry Driven Systems, Inquiry Into Inquiry, Intelligent Systems, Knowledge Bases, Knowledge Representation, Learning, Logic, Peirce, Reasoning, Semiotics, Sign Relations, Systems Theory | Tagged , , , , , , , , , , , , , , | Leave a comment

Abduction, Deduction, Induction, Analogy, Inquiry : 27

Re: Gil Kalai • Avi Wigderson : “Integrating Computational Modeling, Algorithms, and Complexity into Theories of Nature Marks a New Scientific Revolution!” I took a look at Avi’s paper “On the Nature of the Theory of Computation” (OtNotToC).  There is … Continue reading

Posted in Abduction, Analogy, Aristotle, Artificial Intelligence, C.S. Peirce, Computation, Computational Complexity, Deduction, Induction, Inquiry, Inquiry Driven Systems, Intelligent Systems, Logic, Peirce, Problem Solving, Semiotics | Tagged , , , , , , , , , , , , , , , | 1 Comment

Abduction, Deduction, Induction, Analogy, Inquiry : 26

Re: Gil Kalai • Avi Wigderson : “Integrating Computational Modeling, Algorithms, and Complexity into Theories of Nature Marks a New Scientific Revolution!” Projects giving a central place to computation in scientific inquiry go back to Hobbes and Leibniz, at least, … Continue reading

Posted in Abduction, Analogy, Aristotle, Artificial Intelligence, C.S. Peirce, Computation, Computational Complexity, Deduction, Induction, Inquiry, Inquiry Driven Systems, Intelligent Systems, Logic, Peirce, Problem Solving, Semiotics | Tagged , , , , , , , , , , , , , , , | 5 Comments

Conceptual Barriers • 3

Re: Ontolog Forum • Paola Di Maio Partly this discussion and partly just the mood I’m in brought to mind a motley assortment of old reminiscences.  My first years in college I oscillated (or vacillated) between math and physics, eventually … Continue reading

Posted in Artificial Intelligence, C.S. Peirce, Conceptual Barriers, Conceptual Integration, Constraint, Indication, Information, Inquiry, Inquiry Driven Systems, Intelligent Systems, Intentionality, Knowledge Representation, Peirce, Pragmatic Semiotic Information, Scholarship of Integration, Semiotics, Sign Relations, Systems Theory, Uncertainty | Tagged , , , , , , , , , , , , , , , , , , | Leave a comment