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Title: Opening Statistics and Match Play for Backgammon Games
Authors: Papachristou, Nikos
Refanidis, Ioannis
Editors: Likas, A.
Blekas, K.
Kalles, D.
Type: Conference Paper
Subjects: FRASCATI::Natural sciences::Computer and information sciences
Keywords: Monte Carlo
Game Statistics
Match play
Issue Date: May-2014
Publisher: Springer International
Volume: 8445
First Page: 569
Last Page: 582
Volume Title: Artificial Intelligence: Methods and Applications. SETN 2014
Part of Series: Lecture Notes on Computer Science
Part of Series: Lecture Notes on Computer Science
Abstract: Players of complex board games like backgammon, chess and go, were always wondering what the best opening moves for their favourite game are. In the last decade, computer analysis has offered more insight to many opening variations. This is especially true for backgammon, where computer rollouts have radically changed the way human experts play the opening. In this paper we use Palamedes, the winner of the latest computer backgammon Olympiad, to make the first ever computer assisted analysis of the opening rolls for the backgammon variants Portes, Plakoto and Fevga (collectively called Tavli in Greece). We then use these results to build effective match strategies for each game variant.
ISBN: 978-3-319-07063-6
Electronic ISBN: 978-3-319-07064-3
Other Identifiers: 10.1007/978-3-319-07064-3_49
Appears in Collections:Department of Applied Informatics

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