Intelligent System for Playing Tarok | Zendy

Mitja Lu�trek | Zendy; M. Gams | Zendy

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Intelligent System for Playing Tarok

Author(s) -

Mitja Lu�trek,

M. Gams

Publication year - 2003

Publication title -

journal of computing and information technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.169

H-Index - 27

eISSN - 1846-3908

pISSN - 1330-1136

DOI - 10.2498/cit.2003.03.09

Subject(s) - computer science , table (database) , tree (set theory) , monte carlo tree search , game tree , theoretical computer science , artificial intelligence , monte carlo method , data mining , sequential game , game theory , statistics , mathematical economics , mathematics , mathematical analysis

We present an advanced intelligent system for playing three-player tarok card game. The system is based on alpha-beta search with several enhancements such as fuzzy transposition table, which clusters strategically similar positions into generalised game states. Unknown distribution of other players’ cards is addressed by Monte Carlo sampling. Experimental results show an additional reduction in size of expanded 9-ply game-tree by a factor of 184. Human players judge the resulting program to play tarok reasonably well

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