G5BAIM - Artificial Intelligence Methods
This course is run at the The University
of Nottingham within the School of Computer
Science & IT. The course is run by Graham
Kendall (EMAIL : gxk@cs.nott.ac.uk)
Case Study
This page provides links to three papers which you should read.
They all show how strategies, using neural networks, can be evolved, using
an evolutionary strategy. The papers cover similar material but by reading all
three you might get a better perspective from one rather than another.
An Evolutionary Strategy/Neural Network Case Study
- Paper 1 (Chellapilla
K, Fogel D. Anaconda Defeats Hoyle 6-0: A Case Study Competing an Evolved
Checkers Program against Commercially Available Software, Congress on
Evolutionary Computation 2000 (CEC'02), pp 857-863)
- Paper 2 (text,
figures1,
figures2)
(Chellapilla K. and Fogel D. Evolving Neural Networks to Play Checkers
without
Expert Knowledge,IEEE Trans. Neural Networks, 1999, Vol. 10:6, pp. 1382-1391)
- Paper 3 (text,
figures,
tables)
(Chellapilla K. and Fogel D. Evolution, Neural Networks, Games, and
Intelligence,
Proc. IEEE, 1999, Vol. 87:9, Sept., pp. 1471-1496)
Last Updated : 26/01/2002