Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!yale!cs.yale.edu!blenko-tom From: blenko-tom@CS.YALE.EDU (Tom Blenko) Newsgroups: comp.ai Subject: Re: Searle and biology Message-ID: <25559@cs.yale.edu> Date: 13 Jul 90 02:09:39 GMT References: <14265@venera.isi.edu> Sender: news@cs.yale.edu Reply-To: blenko-tom@CS.YALE.EDU (Tom Blenko) Organization: Yale University Computer Science Dept, New Haven CT 06520-2158 Lines: 41 In article <14265@venera.isi.edu> smoliar@venera.isi.edu (Stephen Smoliar) writes: |Before I left on my vacation, Tom Blenko had raised the issue of whether or not |Searle was claiming any superiority of biological implementations over those of |silicon regarding the issue of "understanding." Unless I am mistaken, he |introduced this claim when he last spoke at UCLA. His basic claim was that |there was something about the biological substrate which enabled the |implementation of intentionality. He never said what that "something" |was, but that did not prevent him from asserting that it was absent in |any silicon implementation. Needless to say, I had trouble buying into |this claim. I said Searle's claim is that a system composed of a program running on a silicon processor need not be equivalent to the same program running on a biological "processor" (for the purposes of talking about intelligence). His argument goes like this: even if a program running on a silicon processor produced the same observable, extensional behavior as the biological system, there are intensional properties (emotional states of being happy, angry, alert, confused, and so forth) that he (and, he asserts, others) take as being essential to an intelligent entity. Searle's solution to the mind/body problem is that these intensional properties *are identically* collections of physical states of the underlying system. So an intensional property ("being hungry") is exactly some set of possible states of the system's neurons. The biological substrate doesn't "implement" the intensional properties, it exactly is the intensional properties. It follows that since the underlying states of the silicon and biological processors need not be equivalent, the systems constructed by applying them to the same program are not equivalent. Searle may have made stronger claims, he's not claiming (by this argument) that non-biological implementations of intelligence are unattainable, just that the specification of a program (independent of its processor) is insufficient. This is presented as an argument against "top-down" AI (my terminology) in its various guises. Tom