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