DocumentCode
1841379
Title
Improving a case-based texas hold´em poker bot
Author
Watson, Ian ; Lee, Song ; Rubin, Jonathan ; Wender, Stefan
Author_Institution
Dept of Comput. Sci., Univ. of Auckland, Auckland
fYear
2008
fDate
15-18 Dec. 2008
Firstpage
350
Lastpage
356
Abstract
This paper describes recent research that aims to improve upon our use of case-based reasoning in Texas hold´em poker bot called CASPER. CASPER uses knowledge of previous poker scenarios to inform its betting decisions. CASPER improves upon previous case-based reasoning approaches to poker and is able to play evenly against the University of Alberta´s Pokibots and Simbots, from which it initially acquired its case-bases and updates previously published research by showing that CASPER plays profitably against human online competitors for play money. The new research described here shows how CASPER has improved its play against human players by remembering and reusing its own game play history.
Keywords
case-based reasoning; computer games; CASPER; case-based reasoning; texas holdem poker bot; Artificial intelligence; Hardware; Heuristic algorithms; History; Humans; Knowledge based systems; Robots; Stochastic processes; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Games, 2008. CIG '08. IEEE Symposium On
Conference_Location
Perth, WA
Print_ISBN
978-1-4244-2973-8
Electronic_ISBN
978-1-4244-2974-5
Type
conf
DOI
10.1109/CIG.2008.5035661
Filename
5035661
Link To Document