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From: b27y@vax5.CIT.CORNELL.EDU
Newsgroups: comp.ai
Subject: Re: evolution of intelligence
Message-ID: <19266@vax5.CIT.CORNELL.EDU>
Date: 7 Aug 89 18:51:34 GMT
References: <2153@hub.UUCP> <19229@vax5.CIT.CORNELL.EDU> <591@berlioz.nsc.com> <5768@pt.cs.cmu.edu>
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Reply-To: b27y@vax5.cit.cornell.edu (Michael Gray)
Organization: Cornell Information Technologies, Ithaca NY
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In article <5768@pt.cs.cmu.edu> jps@cat.cmu.edu (James Salsman) writes:
>.....  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
>
While i have only dabled in Neural-nets. i am nor sure if there is any real
measure yet for neural-nets for this:
	specialization of functional units:
		Minksy loves to talk about these thing (_Society of Mind_),
and modern brain physiology seems to indicate that intellegent systems have
several functional compenents - each with its own tasks, yet all very highyl
connected to together.  I seem to recall that it is the reason that we are 
supposed to be smarter than whales(?), yet have smaller brains (I admit that 
the last sentence is a subjective statement, and maybe wrong).  I am sure
that some NN guys might like to think that each "neuron" is a functional
unit, but I feel the neccesity to restrict my self to abstract functions
like :speech, vision, etc..

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