Xref: utzoo comp.ai:5250 talk.philosophy.misc:3328 sci.philosophy.tech:1800 Path: utzoo!attcan!utgpu!jarvis.csri.toronto.edu!cs.utexas.edu!wuarchive!mit-eddie!mit-amt!snorkelwacker!ai-lab!miken From: miken@wheaties.ai.mit.edu (Michael N. Nitabach) Newsgroups: comp.ai,talk.philosophy.misc,sci.philosophy.tech Subject: Re: Can Machines Think? Message-ID: <5610@rice-chex.ai.mit.edu> Date: 19 Dec 89 22:57:51 GMT References: <6724@cbnewsh.ATT.COM> <5767@uhccux.uhcc.hawaii.edu> Reply-To: miken@rice-chex.WISC.EDU (Michael N. Nitabach) Organization: The MIT AI Lab, Cambridge, MA Lines: 19 In article <5767@uhccux.uhcc.hawaii.edu>, lee@uhccux.uhcc.hawaii.edu (Greg Lee) says: >`causal' and >`structure' have to do with theory-making -- we attribute >cause/effect and structure to something in our efforts to >understand it. This view of the fundamental nature of causation derives from a particular metaphysical tradition, beginning with the British Empiricists, e.g. Locke and Hume. This is the view that causation is not an aspect of the world which our mentality can recognize, but rather a schema which our mind imposes on events with appropriate spatiotemporal relations. A conceptually opposite--Realist--stance would be that causation exists as an actual attribute of certain pairs of physical events. Greg's argument in that posting rests on a particular metaphysical assumption, and not on a simple matter of definition or brute fact. Mike Nitabach