Discovering Complex Othello Strategies Through Evolutionary Neural Networks (1995)
An approach to develop new game playing strategies based on artificial evolution of neural networks is presented. Evolution was directed to discover strategies in Othello against a random-moving opponent and later against an alpha-beta search program. The networks discovered first a standard positional strategy, and subsequently a mobility strategy, an advanced strategy rarely seen outside of tournaments. The latter discovery demonstrates how evolutionary neural networks can develop novel solutions by turning an initial disadvantage into an advantage in a changed environment.
Connection Science, Vol. 7 (1995), pp. 195--209.

Risto Miikkulainen Faculty risto [at] cs utexas edu
David E. Moriarty Ph.D. Alumni moriarty [at] alumni utexas net