Path: utzoo!utgpu!jarvis.csri.toronto.edu!mailrus!tut.cis.ohio-state.edu!murthy From: murthy@tut.cis.ohio-state.edu (Murthy Gandikota) Newsgroups: comp.ai Subject: Re: Where might CR understanding come from (if it exists) Message-ID: <41475@tut.cis.ohio-state.edu> Date: 3 Apr 89 17:52:29 GMT References: <2691@crete.cs.glasgow.ac.uk> <813@htsa.uucp> <5755@watdcsu.waterloo.edu> Reply-To: Murthy Gandikota Organization: Ohio State University Lines: 32 In article <5755@watdcsu.waterloo.edu> ssingh@watdcsu.waterloo.edu ( SINGH S - INDEPENDENT STUDIES ) writes: >+5, you would find changes in the nets. Current computer technology does >not allow circuitry to change itself. Unless there is a major revolution >in the design of hardware, I honestly think the first truly intelligent computer >will be made with organic materials. Who knows? It may even be grown using >recombinant DNA or something like that. There is no way we can match the >plasticity of the brain with current technology. This provokes me to post a thought experiment I've made on self-organizing neural nets. The point is, for a neural net to be as efficient storage/processing device as brain, it should be able to change its connections towards some optimality. Suppose there are two independant concepts A and B represented as two neurons/nodes. So long a relationship is not discovered between them there is no connection between them. Say after some time, a relationship is found between A and B, then a connection can be created between them. However this won't be optimal if A and B have a degree/extent relationship. In which case, A and B have to be merged into some C, with the degrees/extents captured in (the hidden rules of) C. A ready and simple example I can put down is, A=bright red, B=dull red, C=shades of red. Has anyone thought of this before? --murthy -- "What can the fiery sun do to a passing rain cloud, except to decorate it with a silver lining?" Surface mail: 65 E.18th Ave # A, Columbus, OH-43201; Tel: (614)297-7951