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Balancing Model-Based and Memory-Free Action Selection under Competitive Pressure

2019-06-06

Abstract excerpt

In competitive situations, winning depends on selecting actions that surprise the opponent. Such unpredictable action can be generated based on representations of the opponent’s strategy and choice history (model-based counter-prediction) or by choosing actions in a memory-free, stochastic manner. Across five different experiments using a variant of a matching-pennies game with simulated and human opponents we fou...

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Literature Corpus work
c54a6c4b-07d6-54b7-a2e7-ac78d7e04960
DOI
10.1101/662700
Open publication

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Balancing Model-Based and Memory-Free Action Selection under Competitive PressureDOI 10.1101/662700
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