Coevolution of a Backgammon Player

@inproceedings{Pollack1996CoevolutionOA,
  title={Coevolution of a Backgammon Player},
  author={Jordan B. Pollack and Alan D. Blair},
  year={1996}
}
One of the persistent themes in Artificial Life research is the use of co-evolutionary arms races in the development of specific and complex behaviors. However, other than Sims’s work on artificial robots, most of the work has attacked very simple games of prisoners dilemma or predator and prey. Following Tesauro’s work on TD-Gammon, we used a 4000 parameter feed-forward neural network to develop a competitive backgammon evaluation function. Play proceeds by a roll of the dice, application of… CONTINUE READING
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