Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: utzoo!utgpu!water!watmath!clyde!cbosgd!ucbvax!NRL-AIC.ARPA!gref From: gref@NRL-AIC.ARPA.UUCP Newsgroups: comp.ai.digest Subject: Re: references for genetic learning systems Message-ID: <8711181342.AA07396@nrl-aic.ARPA> Date: Wed, 18-Nov-87 08:42:55 EST Article-I.D.: nrl-aic.8711181342.AA07396 Posted: Wed Nov 18 08:42:55 1987 Date-Received: Wed, 25-Nov-87 22:00:05 EST Sender: daemon@ucbvax.BERKELEY.EDU Distribution: world Organization: The ARPA Internet Lines: 22 Approved: ailist@kl.sri.com The following books give a good overview of genetic learning systems: Adaptation in Natural and Artificial Systems, J. H. Holland, Univ. Michigan Press: Ann Arbor, 1975. Induction: Processes of Inference, Learning, and Discovery, J. H. Holland, K. J. Holyoak, R. E. Nisbett and P. A. Thagard, MIT Press: Cambridge, 1986. Genetic Algorithms and Simulated Annealing, L. Davis (ed.), Pitman: London, 1987. Genetic Algorithms and Their Applications: Proceedings of the 2nd Intl. Conf. Genetic Algorithms, J. J. Grefenstette (ed.), Lawrence Erlbaum Assoc: Hillsdale, 1987. There is also a bulletin board devoted to genetic algorithms and related topics. To join, send a request to: GA-List-Request@NRL-AIC.ARPA -- JJG