Xref: utzoo comp.lang.prolog:1357 comp.ai:2421
Path: utzoo!utgpu!water!watmath!clyde!att!osu-cis!tut.cis.ohio-state.edu!bloom-beacon!athena.mit.edu!thefool
From: thefool@athena.mit.edu (Michael A. de la Maza)
Newsgroups: comp.lang.prolog,comp.ai
Subject: Re: functions for heuristics
Keywords: generate heuristics
Message-ID: <7639@bloom-beacon.MIT.EDU>
Date: 24 Oct 88 21:53:08 GMT
References: <6746@pasteur.Berkeley.EDU>
Sender: daemon@bloom-beacon.MIT.EDU
Reply-To: thefool@athena.mit.edu (Michael A. de la Maza)
Organization: Massachusetts Institute of Technology
Lines: 9


<I was interested in designing an experimental program, where the program
<would try to solve a problem by using various heuristics.  What I would like
<to do is model it after evolution.
<Roger Carasso

People involved in writing genetic learning algorithms are involved in projects much like the one you describe.  To learn more about glas I suggest that you join the gla mailing list moderated by  John Grefenstette <GA-List-Request@AIC.NRL.NAVY.MIL>.

-- Michael de la Maza			thefool@athena.mit.edu