Path: utzoo!attcan!utgpu!jarvis.csri.toronto.edu!mailrus!tut.cis.ohio-state.edu!ucbvax!agate!apple!voder!berlioz!andrew From: andrew@berlioz (Lord Snooty @ The Giant Poisoned Electric Head ) Newsgroups: comp.ai Subject: Re: Is there a definition of AI? Summary: reference citation Message-ID: <629@berlioz.nsc.com> Date: 12 Aug 89 20:39:19 GMT References: <4318@lindy.Stanford.EDU> Distribution: usa Organization: National Semiconductor, Santa Clara Lines: 26 In article <4318@lindy.Stanford.EDU>, GA.CJJ@forsythe.stanford.edu (Clifford Johnson) writes: > >In <4298@lindy.Stanford.EDU>, Clifford Johnson writes: > >> [Neural nets] are limited in the patterns that they recognize, > >> and are stumped by change. > *flame bit set* > >Go read about Adaptive Resonance Theory (ART) before making sweeping > >and false generalisations of this nature! > > I would have thought stochastic convergence theory more relevant > than resonance theory. > What exactly is your point, and what, specifically, should I read? I refer to "stumped by change", which admittedly is rather inexact in itself. I am not familiar with "stochastic convergence", although perhaps there is another name for it? A characteristic of ART nets is that they are capable of dealing with realtime input and performing dynamic characterisations. A good start would be "Neural Networks & Natural Intelligence" by Stephen Grossberg (ed), 1988, MIT Press. Enjoy. -- ........................................................................... Andrew Palfreyman There's a good time coming, be it ever so far away, andrew@berlioz.nsc.com That's what I says to myself, says I, time sucks jolly good luck, hooray!