NDLI: A Poker Game Description Language

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A Poker Game Description Language

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A Poker Game Description Language

Content Provider	ACM Digital Library
Author	Cardoso, Henrique Lopes Reis, Luís Paulo Correia, João Castro Teófilo, Luís Filipe
Abstract	During the last decade, Computer Poker has become the preferred test-bed for validating developments on the extensive-form game and multi-agent systems research domains. Because Poker is a game with hundreds of variants differing from each other by their betting structure, number of cards in the deck or winning conditions, numerous agents have been created for several different variants of the game. However, there is not a single unified description model that allows for those agents to be tested across different Poker variants inexpensively. For this reason, we introduce the Poker Game Description Language (PGDL), which, unlike other incomplete information GDL's, is uniquely focused on Poker agent development and testing. PGDL is integrated into a playable system which not only makes available a basic Agent Development API in Prolog, but also provides a simple in-built agent which can adapt to user-defined rules. In addition, this framework has a simple GUI which both basic and advanced test subjects demonstrated to be adequate and easy-to-use when defining new PGDL instances. We believe that despite the existence of more generic general game playing systems, the fact that our language natively supplies a shared infrastructure, common to all Poker variants, renders our approach very pertinent for Poker agent development. Tests demonstrated that our language was capable of describing the most popular Poker variants.
Starting Page	353
Ending Page	360
Page Count	8
File Format	PDF
ISBN	9780769551456
DOI	10.1109/WI-IAT.2013.131
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-11-17
Access Restriction	Subscribed
Subject Keyword	Computer poker game description language general game playing poker variant extensive-form games incomplete information games
Content Type	Text
Resource Type	Article

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