Academic Journal

Applying Artificial Intelligence Techniques to Problems of Incomplete Information: Optimizing Bidding in the Game of Bridge

التفاصيل البيبلوغرافية
العنوان: Applying Artificial Intelligence Techniques to Problems of Incomplete Information: Optimizing Bidding in the Game of Bridge
المؤلفون: John Galatti, Sung-hyuk Cha, Michael Gargano
المساهمون: The Pennsylvania State University CiteSeerX Archives
المصدر: http://www.csis.pace.edu/~ctappert/srd2005/b4.pdf.
المجموعة: CiteSeerX
الوصف: Problems of incomplete information include a component of unknown information. We investigate such problems through a study of the bidding phase in the game of Bridge. In particular, we would like to apply genetic algorithms to the Bridge bidding problem. Genetic algorithms, however, require a fitness function appropriate for the problem. Therefore, in this paper, we first attack the optimization problem of finding the maximum number of tricks that can be taken in a bridge hand with optimal play and with complete information. Solutions from this optimization problem will subsequently be used as fitness functions in applying genetic algorithms to the bidding problem. Key words: artificial intelligence, problems of incomplete information, search methods, game of bridge
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.114.644; http://www.csis.pace.edu/~ctappert/srd2005/b4.pdf
الاتاحة: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.114.644
http://www.csis.pace.edu/~ctappert/srd2005/b4.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
رقم الانضمام: edsbas.BEBED9C1
قاعدة البيانات: BASE