Title :
Neural networks compete with expert human players in solving the Double Dummy Bridge Problem
Author :
Jacek Mandziuk;Krzysztof Mossakowski
Author_Institution :
Faculty of Mathematics and Information Science, Warsaw University of Technology, POLAND
Abstract :
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.
Keywords :
"Neural networks","Humans","Bridges","Artificial neural networks","Contracts","System testing","Helium","Lifting equipment","Heart","Lead"
Conference_Titel :
Computational Intelligence and Games, 2009. CIG 2009. IEEE Symposium on
Print_ISBN :
978-1-4244-4814-2
Electronic_ISBN :
2325-4289
DOI :
10.1109/CIG.2009.5286484
