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Expert-based Knowledge: Communicating over Scientific Models

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  • Colo, Philippe

Abstract

Scientific models structure our perception of reality. This paper studies how we choose among them under expert advise. Scientific models are formalised as probability distributions over possible scenarios. An expert is assumed to know the most likely model and seeks to communicate it to a decision maker, but cannot prove it. As a result, communication is a cheap talk game over models. The decision maker is in a situation of model-uncertainty and is ambiguity sensitive. I show that information transmission depends on the strategic misalignment of players and, unlike similar models in the literature, a form of consensus among scientific models. When science is divided, there is an asymmetry in information transmission when the receiver has maxmin expected utility preferences. No information can be conveyed over models above a certain threshold. All equilibria of the game are outcome equivalent to a partitional equilibria and the most informative one is interim Pareto dominant.

Suggested Citation

  • Colo, Philippe, 2021. "Expert-based Knowledge: Communicating over Scientific Models," MPRA Paper 110434, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:110434
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    References listed on IDEAS

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    Cited by:

    1. Kellner, Christian & Le Quement, Mark T. & Riener, Gerhard, 2022. "Reacting to ambiguous messages: An experimental analysis," Games and Economic Behavior, Elsevier, vol. 136(C), pages 360-378.

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    More about this item

    Keywords

    Ambiguity; cheap talk;

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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