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  • 學位論文

遊戲演算法在撲克牌遊戲大老二的應用與比較

The game theory's application and comparison on pokergame Bigtwo

指導教授 : 呂育道
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摘要


遊戲演算法在電腦人工智慧中一直扮演著重要的角色之一,藉由嘗試讓電腦更有智慧的玩遊戲,探討何謂人類的智慧。遊戲演算法的研究從早期的雙人遊戲、完全資訊遊戲,延伸到多人遊戲、不完全資訊遊戲,有各式各樣的演算法。本文使用其中一些演算法,套用在撲克牌遊戲-大老二,比較其優劣並加以討論。

並列摘要


Game algorithms play an important role of artificial intelligence, we try to find human intelligence by making computer play games more wisely. Researches of game algorithms from earlier two-player games and perfect information games extend to multi-player games and imperfect information games. There are many kinds of game algorithms. In this thesis, we apply some of these algorithms to the pokergame Bigtwo. We also analyze the various algorithms.

參考文獻


[5] D. E. Knuth and R. W. Moore. An Analysis of Alpha-Beta Pruning. Artificial Intelligence, 6:293–326, 1975.
[6] Richard E. Korf. Multi-Player Alpha-Beta Pruning. Artificial Intelligence, 49:99–111, 1991.
[8] C. E. Shannon. Programming a Computer for Playing Chess. Philosophical Magazine, 41(314):256–275, 1950.
[9] Nathan Sturtevant. Current Challenges in Multi-Player Game Search. Computers and Games: 4th International Conference, CG 2004.
[10] Matthew R. Wahab. A Reinforcement Learning Agent for 1-Card Poker. 2004.

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陳彥廷(2015)。以OpenCV為基礎之對弈遊戲機器人設計〔碩士論文,中原大學〕。華藝線上圖書館。https://doi.org/10.6840/CYCU.2015.00207

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