The State of Automated Bridge Play

@inproceedings{Bethe2009TheSO,
  title={The State of Automated Bridge Play},
  author={Paul M Bethe},
  year={2009}
}
  • Paul M Bethe
  • Published 2009
The game of Bridge provides a number of research areas to AI researchers due to the many components that constitute the game. Bidding provides the subtle challenge of potential outcome maximization while learning through information gathering, but constrained to a limited rule set. Declarer play can be accomplished through planning and inference. Both the bidding and the play can also be accomplished through Monte Carlo analysis using a perfect information solver. Double-dummy play is a perfect… CONTINUE READING