Category Archives: Biological Systems

Doubt, Uncertainty, Dispersion, Entropy : 2

Re: John Baez • Entropy and Information in Biological Systems To develop the concept of evolutionary games as “learning” processes in which information is gained over time. A fund of ideas toward this goal can be found in the work … Continue reading

Posted in Biological Systems, C.S. Peirce, Cybernetics, Dispersion, Doubt, Entropy, Evolution, Information, Information Theory, Inquiry, Inquiry Driven Systems, Inquiry Into Inquiry, Learning Theory, Peirce, Uncertainty | Tagged , , , , , , , , , , , , , , | Leave a comment

Objects, Models, Theories : 4

I need to stay with this problem a while … What are objects, models, theories, and how do they relate to one another? In contemplating this problem I always find it helpful to ruminate on the diagram shown above — … Continue reading

Posted in Adaptive Systems, Analogy, Aristotle, Artificial Intelligence, Biological Systems, Computational Complexity, Evolution, Gödel, Information, Information Theory, Inquiry, Inquiry Driven Systems, Learning Theory, Logic, Logic of Science, Mathematical Models, Mental Models, Model Theory, Natural Intelligence, Paradigms, Peirce, Pragmata, Semiotics, Sign Relations | Tagged , , , , , , , , , , , , , , , , , , , , , , , | 1 Comment

Objects, Models, Theories : 3

Re: Peirce List Discussion • Tom Gollier Here my task is to build bridges between several different classical and contemporary uses of the word model, so I don’t have the luxury of complete control over the words in play but … Continue reading

Posted in Adaptive Systems, Analogy, Aristotle, Artificial Intelligence, Biological Systems, Computational Complexity, Evolution, Gödel, Information, Inquiry, Inquiry Driven Systems, Learning Theory, Logic, Logic of Science, Mathematical Models, Mental Models, Model Theory, Natural Intelligence, Peirce, Pragmata, Semiotics, Sign Relations | Tagged , , , , , , , , , , , , , , , , , , , , , | 2 Comments

Objects, Models, Theories : 2

Re: The Graph Of Math Re: Three Types Of Mathematical Models What — if anything — is the common sense that connects the different senses of the word model, as it has been used over the years in logic, mathematics, … Continue reading

Posted in Adaptive Systems, Analogy, Aristotle, Artificial Intelligence, Biological Systems, Computational Complexity, Evolution, Gödel, Information, Inquiry, Inquiry Driven Systems, Learning Theory, Logic, Logic of Science, Mathematical Models, Mental Models, Model Theory, Natural Intelligence, Peirce, Pragmata, Semiotics | Tagged , , , , , , , , , , , , , , , , , , , , | 4 Comments

Objects, Models, Theories : 1

Happy Birthday, Charles Sanders Peirce❢ — September 10, 1839 Re: Artem Kaznatcheev • Three Types of Mathematical Models Comment 1 In talking of models we often find denizens of different disciplines talking at cross purposes to one another.  Logicians use … Continue reading

Posted in Adaptive Systems, Analogy, Artificial Intelligence, Biological Systems, C.S. Peirce, Evolution, Information, Inquiry, Inquiry Driven Systems, Learning Theory, Logic, Logic of Science, Mathematical Models, Mental Models, Model Theory, Natural Intelligence, Peirce, Pragmata, Semiotics | Tagged , , , , , , , , , , , , , , , , , , | 4 Comments

Where Is Fancy Bred?

Re: Artem Kaznatcheev • Fitness Landscapes as Mental & Mathematical Models of Evolution The question of “mental models” has occupied my thoughts for quite a while. As intelligent agents with a capacity for inquiry, we have ways of forming and … Continue reading

Posted in Adaptive Systems, Analogy, Artificial Intelligence, Biological Systems, Communication, Evolution, Imagination, Information, Inquiry, Inquiry Driven Systems, Learning Theory, Mathematical Models, Mental Models, Natural Intelligence, Semiotics | Tagged , , , , , , , , , , , , , , | Leave a comment