Xref: utzoo comp.ai:5945 sci.philosophy.tech:2094 Path: utzoo!utgpu!jarvis.csri.toronto.edu!mailrus!uwm.edu!cs.utexas.edu!tut.cis.ohio-state.edu!pt.cs.cmu.edu!a.gp.cs.cmu.edu!rjones From: rjones@a.gp.cs.cmu.edu (Randolph Jones) Newsgroups: comp.ai,sci.philosophy.tech Subject: Re: more Chinese Room Keywords: Chinese room, CR, Searle Message-ID: <7946@pt.cs.cmu.edu> Date: 12 Feb 90 17:29:25 GMT References: <2602@cunixc.cc.columbia.edu> <1990Jan9.162338.28110@twwells.com> <9458@cbmvax.commodore.com> <21866@unix.cis.pitt.edu> <7758@sdcsvax.UCSD.Edu> <33868@cci632.UUCP> Distribution: usa Organization: Carnegie-Mellon University, CS/RI Lines: 15 In article <33868@cci632.UUCP> jct@ccird3.UUCP (John Thompson) writes: >I don't see a way that inductive reasoning, which by the definitions I am used >to does not always follow rules ( i.e. the jump without sufficent data ), can >be reduced to an algolrithm. Can anyone out there enlighten me as to where I am >wrong with this? Inductive reasoning can definitely be accomplished with the use of rules. These rules are just not necessarily truth preserving. For example, the rule "The sun has risen every morning that I have experienced --> The sun will rise tomorrow morning" may or may not be true, but it is a rule that we humans use often to make a useful induction. If you are interested in algorithmic approaches to inductive learning and reasoning, just look in the proceedings of the Machine Learning conferences and workshops. You will find a vast amount of research on this subject.