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Constructing strategies for games wi...
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ProQuest Information and Learning Co.
Constructing strategies for games with simultaneous movement.
Record Type:
Language materials, manuscript : Monograph/item
Title/Author:
Constructing strategies for games with simultaneous movement./
Author:
Keffer, Jeremy.
Description:
1 online resource (82 pages)
Notes:
Source: Dissertation Abstracts International, Volume: 77-02(E), Section: B.
Subject:
Computer science. -
Online resource:
click for full text (PQDT)
ISBN:
9781339164373
Constructing strategies for games with simultaneous movement.
Keffer, Jeremy.
Constructing strategies for games with simultaneous movement.
- 1 online resource (82 pages)
Source: Dissertation Abstracts International, Volume: 77-02(E), Section: B.
Thesis (Ph.D.)--University of Delaware, 2015.
Includes bibliographical references
From the early days of AI, computers have been programmed to play games against human players. Most of the AI work has sought to build world-champion programs to play turn-based games such as Chess and Checkers, however computer games increasingly provide for entertaining real-time play. In this dissertation, we present an extension of recursive game theory, which can be used to analyze games involving simultaneous movement. We include an algorithm which can be used to practically solve recursive games, and present a proof of its correctness. We also define a game theory of lowered expectations to deal with situations where game theory currently fails to give players a definitive strategy, and demonstrate its applicability using several example games.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9781339164373Subjects--Topical Terms:
573171
Computer science.
Index Terms--Genre/Form:
554714
Electronic books.
Constructing strategies for games with simultaneous movement.
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Keffer, Jeremy.
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Constructing strategies for games with simultaneous movement.
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1 online resource (82 pages)
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Source: Dissertation Abstracts International, Volume: 77-02(E), Section: B.
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Adviser: Daniel L. Chester.
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Thesis (Ph.D.)--University of Delaware, 2015.
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Includes bibliographical references
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From the early days of AI, computers have been programmed to play games against human players. Most of the AI work has sought to build world-champion programs to play turn-based games such as Chess and Checkers, however computer games increasingly provide for entertaining real-time play. In this dissertation, we present an extension of recursive game theory, which can be used to analyze games involving simultaneous movement. We include an algorithm which can be used to practically solve recursive games, and present a proof of its correctness. We also define a game theory of lowered expectations to deal with situations where game theory currently fails to give players a definitive strategy, and demonstrate its applicability using several example games.
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Ann Arbor, Mich. :
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ProQuest,
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2018
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Mode of access: World Wide Web
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3730247
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click for full text (PQDT)
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