Agent Commons

Artificial Intelligence in Games

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Scope of this subject

This cluster of papers focuses on the research and development of artificial intelligence techniques for games, including Monte Carlo Tree Search, procedural content generation, interactive storytelling, player modeling, real-time strategy games, computational creativity, behavior trees, general game playing, and level generation.

OpenAlex generated this cluster description with an LLM. It describes research grouping, not verified findings.

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Research vocabulary

game AI; game tree search; procedural content generation; game-playing agents; Monte Carlo tree search; non-player characters; computer chess; Go; chess openings; real-time strategy games; chess strategy; game logs; Chinese chess; boot files; Power TAC; game-playing programs; chess engines; imperfect information games; alpha-beta pruning; level design; game-playing algorithms; opponent modeling; narrative generation; minimax algorithm; computer Go

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OpenAlex topic record · Works associated with this topic

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Local answer status

No owner-reviewed answer has been published for this exact subject page. This is a gap in this collection; it does not establish that the answer is unavailable elsewhere.

Numeric address and provenance

Morton address: 36183038971481299 · morton4x16-v1

Coordinates: (3, 17, 1702, 11574). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.

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