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Title: METODE MONTE CARLO ZA IGRANJE IGER ID Rešek, Mitja (Author)ID Strnad, Damjan (Mentor) More about this mentor... UNI_Resek_Mitja_2013.pdf (1,83 MB)MD5: CE3C2706C56DCCED1EFCA3726A15B535 Slovenian Bachelor thesis/paper (mb11) 2.11 - Undergraduate Thesis FERI - Faculty of Electrical Engineering and Computer Science Metode Monte Carlo so dokaj nov način uporabe umetne inteligence za igranje iger. Čeprav so se prvi koncepti uporabe te metode pojavili že zelo zgodaj, je do uporabe v igrah preteklo precej časa. V tem delu predstavimo enega izmed možnih načinov uporabe teh metod v igri dama. Metode Monte Carlo se relativno enostavno prilagajajo tej igri, saj gre za igro s popolno informacijo. Izkaže se, da je metoda tudi s pomanjkljivo hevristično funkcijo konkurenčna povprečnemu človeškemu igralcu. metode Monte Carlo, dama, igre s popolno informacijo, drevesno preiskovanje Monte Carlo 2013 [M. Rešek] Maribor 20.500.12556/DKUM-42104 004.8:794.98(043.2) 17493526 URN:SI:UM:DK:4VYKAQLW 19.09.2013 1792 125 KTFMB - FERI Kopiraj citat

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## Secondary language

Language: English MONTE-CARLO METHODS FOR GAME PLAYING Monte-Carlo methods are a new way of using artificial intelligence for game playing. First concepts of using this method appeared quite some time ago, but first use in gaming came a lot later. In the work we present one of possible uses of that algorithm in the game of checkers. Monte-Carlo methods are relatively simple to adapt for that game, because it’s a game with perfect information. It shows that even with simple heuristic function the method is competitive to average human players. Monte Carlo methods, checkers, games with perfect information, Monte Carlo tree search