Reflective Interpretive Frameworks • Incident 2

Re: Terence Tao • Modular Arithmetic Challenge

  • Can a neural network learn to do modular multiplication efficiently?

Incidental Reflection 1

There are alternative models of neural networks which do not depend on threshold neurons and endlessly fiddling with weights.

Incidental Reflection 2

The following three blog posts present a case study comparing two ways of handling a classic example from the Parallel Distributed Processing paradigm, the “Jets and Sharks” database problem, first, the original treatment of McClelland and Rumelhart and, second, according to a program I developed all through the 1980s.  The latter method uses ideas from Grossberg’s competition‑cooperation and winner‑take‑all dynamics, but is purely syntactic and propositional logic based, involving no extraneous weights.

  • Theme One Program • Jets and Sharks • (1)(2)(3)

Resource

cc: Academia.eduCyberneticsLaws of FormMathstodon
cc: Research GateStructural ModelingSystems ScienceSyscoi

This entry was posted in Arithmetization, C.S. Peirce, Gödel Numbers, Higher Order Sign Relations, Inquiry Driven Systems, Inquiry Into Inquiry, Logic, Mathematics, Quotation, Recursion, Reflection, Reflective Interpretive Frameworks, Semiotics, Sign Relations, Triadic Relations, Use and Mention, Visualization and tagged , , , , , , , , , , , , , , , , . Bookmark the permalink.

1 Response to Reflective Interpretive Frameworks • Incident 2

  1. Pingback: Survey of Inquiry Driven Systems • 7 | Inquiry Into Inquiry

Leave a comment

This site uses Akismet to reduce spam. Learn how your comment data is processed.