Path: utzoo!utgpu!jarvis.csri.toronto.edu!rutgers!ucsd!tut.cis.ohio-state.edu!cica!ctrsol!uakari.primate.wisc.edu!ginosko!uunet!munnari.oz.au!csc!ccadfa!usage!elecvax!spinifex!hughc From: hughc@spinifex.eecs.unsw.oz (Hugh Clapin) Newsgroups: comp.ai.neural-nets Subject: Representational NN Message-ID: <485@spinifex.eecs.unsw.oz> Date: 5 Oct 89 06:20:59 GMT References: <6403@watdcsu.waterloo.edu> Distribution: comp Organization: EE & CS, Uni N.S.W., Sydney, Australia Lines: 14 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 the knowledge it represents (at the binary level where the work is actually done). I recognise that this is a pretty wide and unspecified area to waffle about, but if anyone can point me to discussions which might have something to do with representation, and particularly comparing NNs and Von Neumann architectures, I'd appreciate it. I'll post a summary if I get enough responses thanks, Hugh Clapin