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Title:
METODE MONTE CARLO ZA IGRANJE IGER
Authors:
Rešek, Mitja
(Author)
Strnad, Damjan
(Mentor)
More about this mentor...
Files:
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
NUK URN:
URN:SI:UM:DK:4VYKAQLW
Views:
1420
Downloads:
97
Metadata:
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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