Abstract
Adding some reasoning capabilities to a naive reinforcement learning model, we get outcomes farther away from the fully introspective game-theoretic approach. This is caused by an asymmetry in the information agents can deduce from their experience, leading to a bias in their learning process. © 1997 Elsevier Science S.A.
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