Who's Got Game: Difference between revisions
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Erik Blankinship | Erik Blankinship | ||
== [Who's Got Game] == | == [http://web.media.mit.edu/~erikb/gotGame/ Who's Got Game] == | ||
Many people play strategy games against computer opponents, but don’t have a clear understanding of how they function. Building your own Deep Blue is a formidable challenge, but is perhaps a good way to learn the computer science and mathematics of decision making. Since most people aren’t computer scientists, they will need a way to describe game strategies so they can be executed by a computer they can play against. This proposal describes a graphic toolkit for designing strategy-games and computer opponents, tailored to support learning artificial intelligence techniques for deciding which next moves are better than others. The toolkit development is complemented by a study of how people articulate their strategies and modify them after seeing their effect on game play. | Many people play strategy games against computer opponents, but don’t have a clear understanding of how they function. Building your own Deep Blue is a formidable challenge, but is perhaps a good way to learn the computer science and mathematics of decision making. Since most people aren’t computer scientists, they will need a way to describe game strategies so they can be executed by a computer they can play against. This proposal describes a graphic toolkit for designing strategy-games and computer opponents, tailored to support learning artificial intelligence techniques for deciding which next moves are better than others. The toolkit development is complemented by a study of how people articulate their strategies and modify them after seeing their effect on game play. | ||
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Revision as of 01:53, 15 December 2004
Erik Blankinship
Who's Got Game
Many people play strategy games against computer opponents, but don’t have a clear understanding of how they function. Building your own Deep Blue is a formidable challenge, but is perhaps a good way to learn the computer science and mathematics of decision making. Since most people aren’t computer scientists, they will need a way to describe game strategies so they can be executed by a computer they can play against. This proposal describes a graphic toolkit for designing strategy-games and computer opponents, tailored to support learning artificial intelligence techniques for deciding which next moves are better than others. The toolkit development is complemented by a study of how people articulate their strategies and modify them after seeing their effect on game play.
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