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Komodo

82 bytes added, 14:24, 1 November 2018
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Komodo is a standalone chess engine supporting the [[UCI]] protocol and is available for multiple platforms and [https://en.wikipedia.org/wiki/Operating_system operating systems], and is therefore compatible with free and commercial UCI compliant chess [[GUI|graphical user interfaces]] and [[Databases|database]] front ends.
As of December 2011, Komodo became commercial with version '''4''' <ref>[http://komodochess.com/komodo4sp-28a Komodo 4 UCI chess engine download]</ref>, earlier versions running under [[Windows]], [[Linux]], [[Mac OS]] and [[Android]] are available from the Komodo download site, free for non-commercial use <ref>[https://komodochess.com/downloads.htm Available Versions of Komodo]</ref> <ref>[http://komodochess.com/downloads.php Komodo chess engine by Don Dailey and Larry Kaufman - Downloads]</ref>. Next release date was May 2013, with [[CCT15]] winner Komodo '''CCT''' <ref>[http://www.talkchess.com/forum/viewtopic.php?t=47906 Komodo CCT release] by [[Don Dailey]], [[CCC]], May 03, 2013</ref>.
=Further Versions=
Komodo '''12''' was released in May 2018. Beside the classical, slightly improved engine, Komodo 12 features an optional [[Monte-Carlo Tree Search]] (MCTS), the release likely influenced by the [[AlphaZero]] hype.
However, as confirmed by [[Mark Lefler]] <ref>[http://www.talkchess.com/forum3/viewtopic.php?f=2&t=67441&start=25 Re: Komodo 12 and MCTS] by [[Mark Lefler]], [[CCC]], May 14, 2018</ref>
implementing MCTS was already an old idea of the Komodo team - also due to [[Don Dailey|Don Dailey's]] computer [[Go]] experience in developing a MCTS building an [[GoUCT]] programmingplayer.
In Komodo's MCTS mode the [[Search Tree|search tree]] is expanded in [[Best-First|best-first]] manner based on [[Pawn Advantage, Win Percentage, and Elo|winning probabilities]]
determined not by random playouts, but a tiny [[Alpha-Beta|alpha-beta search]] plus [[Quiescence Search|quiescence]] and [[Evaluation|static evaluation]], also similar to [[UCT]], dealing the with crucial trade-off between [https://en.wikipedia.org/wiki/Monte_Carlo_tree_search#Exploration_and_exploitation exploration and exploitation].

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