Nov 9, 2018 · We provide evidence that people engage in mental-state reasoning to learn even from imperfect advice based on incomplete knowledge.
This study examines how human learners put two "imperfect" heads together to make utility-maximizing decisions. Participants played a card game where they chose ...
We describe a Bayesian model that aligns closely with human decisions, and discuss our hypotheses about neural computations that might support the integration.
The current study examines how human learners put two "imperfect" heads together to make utility-maximizing decisions. Participants played a card game where ...
Overall, participants benefited even from imperfect advice based on incomplete information, and participants' responses were consistent with a Bayesian ...
Thus, integrating our incomplete knowledge of the world with imperfect advice from others is a critical challenge for social learning. Here, we explore how ...
Abstract. A key benefit of Bayesian reasoning is that it stipulates how to optimally integrate unreliable sources of information.
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May 21, 2022 · Every game of incomplete information can be thought of as a game of imperfect information that starts with nature choosing a game that players are imperfectly ...
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We propose a theory of cooperative games with incomplete information. The theory concerns stable interactions that cannot be undermined by coalitions and.
This chapter studies how incomplete information helps accommodate frictions in coordination, leading to novel insights on the joint determination of ...