Path: utzoo!utgpu!jarvis.csri.toronto.edu!rutgers!iuvax!cica!tut.cis.ohio-state.edu!pt.cs.cmu.edu!cat.cmu.edu!jps From: jps@cat.cmu.edu (James Salsman) Newsgroups: comp.ai Subject: Re: evolution of intelligence Message-ID: <5768@pt.cs.cmu.edu> Date: 6 Aug 89 21:52:15 GMT References: <2153@hub.UUCP> <19229@vax5.CIT.CORNELL.EDU> <591@berlioz.nsc.com> Organization: Carnegie Mellon Lines: 32 In article <591@berlioz.nsc.com> andrew@berlioz (Lord Snooty @ The Giant Poisoned Electric Head ) writes: > It's been pointed out that size of brain does not "correlate well" with > intelligence. It's also trivially obvious that if you offered me two > neural networks for intelligence emulation, I would choose the one with > richer connectivity (assuming I'd know what to do with it). That's easy to say, but I'll bet that you can't define what you mean by "richer." The neural-net structure of the best F-14 fighter pilot is probably quite different from the structure of a progammer's neural-net. Exercise: what is the optimal structure of an AI researcher's neural-net. Also, by "size of brain" do you mean (A) Weight (B) Volume (C) Number of Neurons (D) Number of Connections (E) Resolution of each Connection (F) Rate of Connection Change (G) Number of desernable Neurotransmitters or some combination of these, or somthing else? :James Disclaimer: The University doesn't influence my opinions, and I don't influence the University's...most of the time. -- :James P. Salsman (jps@CAT.CMU.EDU)