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A New Complexity Scorecard for Game World Models

A New Complexity Scorecard for Game World Models

The paper proposes Transition Complexity Profile (TCP), a reproducible framework for measuring how difficult game-world transition prediction is at a specified interface. It evaluates branching, interaction-driven uncertainty, opponent influence, and temporal or spatial dependencies to improve comparisons across game-modeling and reinforcement-learning benchmarks.

ArXiv AIResearch15h ago#game-world-modeling#benchmarking
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