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Robust Cooperation in the Prisoner's Dilemma: Program Equilibrium via Provability Logic
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We consider the one-shot Prisoner's Dilemma between algorithms with read-access to one anothers' source codes, and we use the modal logic of provability to build agents that can achieve mutual cooperation in a manner that is robust, in that cooperation does not require exact equality of the agents' source code, and unexploitable, meaning that such an agent never cooperates when its opponent defects. We construct a general framework for such "modal agents", and study their properties.
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A game theory for foundation models shows new paths to rational cooperation through similarity inference
Foundation-model agents that plan by predicting both the world and themselves can rationally cooperate in one-shot social dilemmas by inferring behavioral similarity from interaction history.
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