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- From: rfermier@athena.mit.edu (Robert G Fermier)
- Newsgroups: rec.games.programmer
- Subject: Genetic Algorithms
- Message-ID: <1992Nov22.082115.14266@athena.mit.edu>
- Date: 22 Nov 92 08:21:15 GMT
- Sender: news@athena.mit.edu (News system)
- Organization: Massachusetts Institute of Technology
- Lines: 13
- Nntp-Posting-Host: m1-142-15.mit.edu
-
- What about having each mutant child play against it's parent some large number
- of times, while the user is reading text or thinking or whatever, or run it
- as a background process. Any child which can consistently beat its parent should
- be considered a better algorithm. I suppose this might lead to inbred
- algorithms, which are finely tuned for beating their predecessors but suck at
- beating humans. Perhaps having different strains, some of which were based off
- of extrapolations from human moves (in position X, he did Y, so our new algorithm
- will do Y also now that we are in position X) would solve this problem.
-
- Just an idea, I really don't know much about genetic algorithms.
-
- -- Rob Fermier
- rfermier@athena.mit.edu
-