Neural networks compete with expert human players in solving the Double Dummy Bridge Problem

Artificial neural networks, trained only on sample bridge deals, without presentation of any human knowledge as well as the rules of the game, are applied to solving the Double Dummy Bridge Problem (DDBP). The problem, in its basic form, consist in estimation of the number of tricks to be taken by one pair of bridge players.