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Article 3428 of comp.ai.philosophy:
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>From: chandra@cannelloni.cis.ohio-state.edu (B Chandrasekaran)
Newsgroups: comp.ai.philosophy
Subject: Re: Strong AI and Panpsychism
Message-ID: <CHANDRA.92Feb3091111@cannelloni.cis.ohio-state.edu>
Date: 3 Feb 92 14:11:11 GMT
References: <21879@life.ai.mit.edu> <1992Feb2.030815.1207@memstvx1.memst.edu>
	<1992Feb2.170040.6615@news.media.mit.edu>
	<1992Feb3.101341.13151@nuscc.nus.sg>
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In-Reply-To: smoliar@maclane.iss.nus.sg's message of Mon, 3 Feb 1992 10: 13:41 GMT
Originator: chandra@cannelloni.cis.ohio-state.edu

In article <1992Feb3.101341.13151@nuscc.nus.sg> 
smoliar@maclane.iss.nus.sg (stephen smoliar) writes (in response to Minsky's
proposal about some sort of GPS mechanism acting in memory): 

  ... what sort of difference reduction
   goes on in Tinbergen's stickleback?  I have always worried that the GPS 
   model of goals and targets is a bit too simplistic.  Even if we assign it to
   lower-level agents, can we even get it to accommodate the sort of variety
   we encounter in animal behavior?  Perhaps a back-of-the-envelope sketch 
   might help me with this predicament.

Actualy I think just the opposite: that GPS, especially in its later
incarnation as SOAR (Newell told me in a conversation, "SOAR is GPS
done right") is realy a model of *deliberative activity*, not a model
of anything that goes on in memory.  Thus, with respect to animals,
whatever diference eduction goes on is an extremely minimal one: whatever
problem spaces and operators that the representation-poor beast can set up,
it can try to reduce, but it is clearly a lot less that higher level
animals with increasing amounts of symbolic content to their deliberation.

   


