Path: utzoo!attcan!uunet!wuarchive!gem.mps.ohio-state.edu!uakari.primate.wisc.edu!polyslo!unmvax!ariel!wayback.unm.edu!bill From: bill@wayback.unm.edu (william horne) Newsgroups: comp.ai.neural-nets Subject: Re: Representational NN Message-ID: <708@ariel.unm.edu> Date: 6 Oct 89 22:53:44 GMT References: <6403@watdcsu.waterloo.edu> <485@spinifex.eecs.unsw.oz> <1678@cs.yale.edu> Sender: news@ariel.unm.edu Reply-To: bill@wayback.unm.edu (william horne) Distribution: comp Organization: University of New Mexico, Albuquerque Lines: 35 In article <1678@cs.yale.edu> zador-anthony@CS.YALE.EDU (anthony zador) writes: >In article <485@spinifex.eecs.unsw.oz> hughc@spinifex.eecs.unsw.oz (Hugh Clapin) writes: >>I'm presently getting my act together for my honours thesis (in philosophy), >>and want to explore the comparisons between representation in NNs and in >>traditional symbol systems. Also of interest is a comparsion between how >>NNs use the knowledge they represent and how a Von Neumann computer uses > >Connections and Symbols, ed. S. Pinker ~1988 > These are generally critical articles of the NN approach. The best pro- article I saw was in Brain and Behavioral Sciences 1988 by Paul Smolensky, called "On the Proper Treatment of Connectionism", 11, 1-74. BBS is an "Open Peer" journal. For this particular article there were at least thirty responses. This is a very good article, although it is pretty difficult to get through (its long, and packed with information). Basically, Smolensky is trying to characterize connectionist models as using "subsymbolic" representations, which are quite different from symbolic representations in traditional symbol systems. These subsymbols somehow describe micro-features of cognition as opposed to macro-features. In essence, it is a reductionist approach. One of the issues he brings up (actually in his response to the peer responses) is the classification of various approaches to cognition researchers have takens with connectionist systems: Eliminativist, Limitivist, Revisionist, or Implementationalist. Which are basically opinions as to whether connectionism is just as doomed as traditional AI, something completely new and different, or just the same old concepts in a different architecture. I think that there are new concepts being offered that are unique to connectionism, and that the consequences (if connectionism is successful) is that we would see a paradigm shift away from logic towards pattern recognition as the dominant mechanism of cognition. What do people out there think? -bill