Path: utzoo!utgpu!water!watmath!clyde!bellcore!tness7!killer!mit-eddie!bloom-beacon!AI.AI.MIT.EDU!AIList-REQUEST From: AIList-REQUEST@AI.AI.MIT.EDU (AIList Moderator Nick Papadakis) Newsgroups: comp.ai.digest Subject: AIList Digest V7 #7 [STAR%LAVALVM1.BITNET@MITVMA.MIT.EDU: Analogical reasoning] Message-ID: <8805241929.AA19697@BLOOM-BEACON.MIT.EDU> Date: 24 May 88 19:30:11 GMT Sender: daemon@bloom-beacon.MIT.EDU Reply-To: AIList@AI.AI.MIT.EDU Organization: The Internet Lines: 27 Approved: ailist@ai.ai.mit.edu Date: Sun, 15 May 88 17:10:42 From: Spencer Star Subject: Analogical reasoning To: "ailist-request@ai.ai.mit.edu" This is an answer to a request for sources on analogical reasoning. D. Gentner & C. Toupin, "Systematicity and surface similarity in the development of analogy", COGNITIVE SCIENCE, 10, 277-300 (1986). J. Carbonell, "Derivational Analogy: A theory of ....", in R. Michalski, J. Carbonell, T. Mitchell, _Machine Learning_, (vol 1), 1983. S. Kedar-Cabelli, "Analogy--From a unified perspective", Laboratory for Computer Science Research, Hill Center, Rutgers University, Technical Report ML-TR-3 (Dec 1985). Rogers P. Hall, "Understanding analogical reasoning: computational approaches", Department of Informatin and Computer Science, University of California, Irvine, 92717, Nov 1986 Many more papers appear in proceedings from AAAI and IJCAI. It is an active area in machine learning also. I understand Hall's paper was going to be published in AI Journal. That paper and Kedar-Cabelli's are fairly long surveys. --Spencer Star