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Title:METODE MONTE CARLO ZA IGRANJE IGER
Authors:Rešek, Mitja (Author)
Strnad, Damjan (Mentor) More about this mentor... New window
Files:.pdf UNI_Resek_Mitja_2013.pdf (1,83 MB)
MD5: CE3C2706C56DCCED1EFCA3726A15B535
 
Language:Slovenian
Work type:Bachelor thesis/paper (mb11)
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract: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.
Keywords:metode Monte Carlo, dama, igre s popolno informacijo, drevesno preiskovanje Monte Carlo
Year of publishing:2013
Publisher:[M. Rešek]
Source:Maribor
UDC:004.8:794.98(043.2)
COBISS_ID:17493526 New window
NUK URN:URN:SI:UM:DK:4VYKAQLW
Views:1420
Downloads:97
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:MONTE-CARLO METHODS FOR GAME PLAYING
Abstract: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.
Keywords:Monte Carlo methods, checkers, games with perfect information, Monte Carlo tree search


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