Xref: utzoo sci.philosophy.tech:2241 comp.ai:6330 Path: utzoo!attcan!uunet!ogicse!dali!uakari.primate.wisc.edu!samsung!cs.utexas.edu!mailrus!ames!amdahl!kp From: kp@uts.amdahl.com (Ken Presting) Newsgroups: sci.philosophy.tech,comp.ai Subject: Re: Chess, Reductionism, Probablistic Determinism. Summary: Rules are normative, causation is not Keywords: rules, causes, consciousness Message-ID: <8eQP02EX94Fn01@amdahl.uts.amdahl.com> Date: 21 Mar 90 21:02:31 GMT References: <491fffd5.1a4d7@cicada.engin.umich.edu> <2080@aipna.ed.ac.uk> <351@ntpdvp1.UUCP> Reply-To: kp@amdahl.uts.amdahl.com (Ken Presting) Followup-To: comp.ai Organization: Amdahl Corporation, Sunnyvale CA Lines: 36 In article <351@ntpdvp1.UUCP> sandyz@ntpdvp1.UUCP (Sandy Zinn) writes: >> Ken Presting writes: >> What we don't know is how to implement a machine that >> can learn all the rules human beings can learn, or even how much of >> human behavior is based on rules and how much is based on causes. > >Rules vs. Causes?? I'm curious; please elaborate. When you play a game of chess, if someone asks you why you move the knight in that funny way, or why the pawn doesn't capture the piece ahead of it, the rational explanation is based on the rules of the game. No such explanation would be available if someone asked you why you jerk your foot when the tendon of your kneecap is tapped (even if you know a whole lot more about neurophysiology than I do, you couldn't give an account of why jerking your foot was *rational*) One thing that makes rules interesting is that they seem to be closely related to conscious thought, abstract thinking and learning, and overt behavior, all at the same time. A *very* controversial issue revolves around the rules of grammar. A large number of bright people are prepared to argue to the death that knowledge of grammar is knowledge of certain rules, and that this knowledge is innate in every infant. A similar number of equally bright people think this position is absurd. Confusion over this and related issues (such as explicit representation of symbolic data vs. "implementation" of symbolic process in hardware) seems to me to infect much of the debate over the foundations of AI. Implementationism and normative properties are my attempt to sort things out. Whether a certain process (natural or artificial) follows a certain rule is a normative question - the rule states a "norm", and some interpretation of our observations of the process may be required before we can understand the relation between the process and the rule. I know this is rather vague, but it may be enough for a start. Ken Presting