Path: utzoo!utgpu!watmath!att!tut.cis.ohio-state.edu!cs.utexas.edu!csd4.csd.uwm.edu!uxc.cso.uiuc.edu!uxc.cso.uiuc.edu!ux1.cso.uiuc.edu!kolmogorov!ari From: ari@kolmogorov.physics.uiuc.edu Newsgroups: comp.ai Subject: Re: Connectionism, a paradigm shift? Message-ID: <11400004@kolmogorov> Date: 15 Aug 89 01:16:00 GMT References: <24241@iuvax.cs.indiana.edu> Lines: 48 Nf-ID: #R:iuvax.cs.indiana.edu:24241:kolmogorov:11400004:000:1976 Nf-From: kolmogorov.physics.uiuc.edu!ari Aug 14 20:16:00 1989 Much of the hype with Neural Networks sounds much like the hype in the study of Chaos. One author of a popular book on Chaos claims a paradigm shift in physical science, even as far as to claim that the 20th century will be remembered for the theory of General Relativity, Quantum Mechanics and the theory of Chaos! One difficulty in the field of Chaos is the mixing of hype with solid theoretical and conceptual advances. Chaos is a broad title given to a large class of ideas and observed (usually computationally) phenomenon as well as some theory. It is much more a collection of bits and pieces and tantalizing glimpses than a cohesive theory. One posting claims that: "Doing neural nets this way is akin to allowing probability to be a mathematical field, and to statistical mechanics and quantum theory." Which seems to imply that the fields of probability, statistical mechanics (my own field) and quantum theory are in some sense the less precise version of some other field or fields which simply simulate, rather than theorize. These views seem wrong to me, and certainly, the bulk of NN research appears to be at a much less about theory, and much more about description and simulation. This is very well and good, and is much more akin to Monte Carlo Ising Spin simulations in statistical physics. However, such simulations are not the bulk of statistical physics. The current legacy of Chaos theory is a more descriptive rather than theoretical understanding of chaotic phenomena. Of course solid work has been done, but a lot of pretty pictures have made more than the fair share of impact. I believe it is important to any field to understand the differences between observing, describing, classifying and understanding phenomena. One should not claim the last simply from the first. Aritomo Shinozaki co/ Physical Theory Group ari@kolmogorov.physics.uiuc.edu Beckman Institute University of Illinois, Urbana-Champaign Urbana IL, 61801