2,709 research outputs found

    WCCC 2017: the 23rd world computer chess championship

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    The ICGA's 23rd World Computer Chess Championship started on July 3rd. 2017. The competitors in this select field were CHIRON, JONNY, KOMODO and SHREDDER. The contest was close and set new standards for the event: all podium places required play-offs. Ultimately, KOMODO retained its title, beating JONNY and SHREDDER. The analysis of the games and the pgn file of games are provided here

    On the limits of engine analysis for cheating detection in chess

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    The integrity of online games has important economic consequences for both the gaming industry and players of all levels, from professionals to amateurs. Where there is a high likelihood of cheating, there is a loss of trust and players will be reluctant to participate — particularly if this is likely to cost them money. Chess is a game that has been established online for around 25 years and is played over the Internet commercially. In that environment, where players are not physically present “over the board” (OTB), chess is one of the most easily exploitable games by those who wish to cheat, because of the widespread availability of very strong chess-playing programs. Allegations of cheating even in OTB games have increased significantly in recent years, and even led to recent changes in the laws of the game that potentially impinge upon players’ privacy. In this work, we examine some of the difficulties inherent in identifying the covert use of chess-playing programs purely from an analysis of the moves of a game. Our approach is to deeply examine a large collection of games where there is confidence that cheating has not taken place, and analyse those that could be easily misclassified. We conclude that there is a serious risk of finding numerous “false positives” and that, in general, it is unsafe to use just the moves of a single game as prima facie evidence of cheating. We also demonstrate that it is impossible to compute definitive values of the figures currently employed to measure similarity to a chess-engine for a particular game, as values inevitably vary at different depths and, even under identical conditions, when multi-threading evaluation is used

    Spartan Daily, September 3, 1993

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    Volume 101, Issue 6https://scholarworks.sjsu.edu/spartandaily/8434/thumbnail.jp

    v. 57, no. 25, November 30, 1989

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    Spartan Daily, October 18, 1966

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    Volume 54, Issue 20https://scholarworks.sjsu.edu/spartandaily/4892/thumbnail.jp

    University of Wollongong Campus News 26 August 1983

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    Collaborative computer personalities in the game of chess

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    Computer chess has played a crucial role in Artificial Intelligence research since the creation of the modem computer. It has gained this prominent position due to the large domain that it encompasses, including psychology, philosophy and computer science. The new and innovative techniques initially created for computer chess have often been successfully transferred to other divergent research areas such as theorem provers and economic models. The progress achieved by computers in the game of chess has been illustrated by Deep Blue’s famous victory over Garry Kasparov in 1997. However, further improvements are required if more complex problems are to be solved. In 1999 the Kasparov versus the World match took place over the Internet. The match allowed chess players from around the world to collaborate in a single game of chess against the then world champion, Garry Kasparov. The game was closely fought with Kasparov coming out on top. One of the most surprising aspects of the contest was the high quality of play achieved by the World team. The World team consisted of players with varying skill and style of play, despite this they achieved a level of play that was considered better than any of its individual members. The purpose of this research is to investigate if collaboration by different players can be successfully transferred to the domain of computer chess

    What\u27s News At Rhode Island College

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    https://digitalcommons.ric.edu/whats_news/1540/thumbnail.jp
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