Please use this identifier to cite or link to this item:
https://ruomo.lib.uom.gr/handle/7000/886
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 Backgammon Plakoto Fevga |
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. |
URI: | https://doi.org/10.1007/978-3-319-07064-3_49 https://ruomo.lib.uom.gr/handle/7000/886 |
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 |
Files in This Item:
File | Description | Size | Format | |
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BgStats-SETN - preprint.pdf | preprint | 365,42 kB | Adobe PDF | View/Open |
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