Learning to Play Complex Games
نویسنده
چکیده
We describe an algorithm, inspired by the biological behavior of ants, to efficiently determine intelligent moves and the genetic algorithm used to learn better strategies in a broad class of games. We present a class of games called Simple War Games that includes both deterministic and nondeterministic, perfect information, two-player, zero sum games. Simple War Games have a branching factor and game tree that is magnitudes larger than that of either chess or go and thus standard search techniques are inappropriate.
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