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Shannon described how a computer could generate chess moves, search continuations and evaluate positions. He contrasted fixed-depth exploration of all variations with selective search guided by promising moves and unstable tactical positions. Chess made limited computation a concrete design problem. An exhaustive tree grows rapidly, so Shannon examined evaluation functions, move-generation subprograms and selective continuations. This is a human-designed AI method whose approximations differ from an exact game specification.
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Scientific scope
The paper is a programming and search proposal. It does not report a strong implemented player, solve chess or guarantee that heuristic evaluation and selective search select the best move.
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People and systems
Claude E. Shannon
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English catalogue narrative
Shannon: search and evaluation for computer chess
Shannon described how a computer could generate chess moves, search continuations and evaluate positions. He contrasted fixed-depth exploration of all variations with selective search guided by promising moves and unstable tactical positions.
Chess made limited computation a concrete design problem. An exhaustive tree grows rapidly, so Shannon examined evaluation functions, move-generation subprograms and selective continuations. This is a human-designed AI method whose approximations differ from an exact game specification.
Scientific scope
The paper is a programming and search proposal. It does not report a strong implemented player, solve chess or guarantee that heuristic evaluation and selective search select the best move.
People and systems
Claude E. Shannon