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While Mahjong (the actual game, not Mahjong solitare) is fairly simple in terms of basic rules and gameplay, setting objectives for the AI to transition to aim for certain end game goals seems fairly complex.
Is anyone aware of any papers, research, or other materials related to this topic?
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Game Theory is choosing from a set of rational choices in a multi-agent situation. Von Newman invented this algorithm. We use this concept in AI wherever more than one person is solving a logical problem. Minimax algorithm in Game Theory is one of the oldest algorithms in AI and is used generally for two players.
In video games, artificial intelligence (AI) is used to generate responsive, adaptive or intelligent behaviors primarily in non-player characters (NPCs) similar to human-like intelligence. Artificial intelligence has been an integral part of video games since their inception in the 1950s.
Answer. Answer: Rock paper scissor game is based on data in AI domain.
I think this could be what you are looking for:
A Mah Jong-Playing Program
A masters thesis written at the Department of Information Technology
by Daniel Hellsson
with supervisors Jan Eric Larsson and Bengt Öhman
1 September, 2000
http://www.it.lth.se/janeric/mastersprojects/past/hellsson/mother.pdf
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Have a look at AI Mahjong by Wan Jing Loh, December 11th 2009 (PDF).
In this project, I attempted to develop a viable AI Mahjong player, by building a hand evaluator that is able to accurately calculate how many tiles from victory the player is.
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