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Dynamic Awareness

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  • Joseph Y. Halpern
  • Evan Piermont

Abstract

We investigate how to model the beliefs of an agent who becomes more aware. We use the framework of Halpern and Rego (2013) by adding probability, and define a notion of a model transition that describes constraints on how, if an agent becomes aware of a new formula $\phi$ in state $s$ of a model $M$, she transitions to state $s^*$ in a model $M^*$. We then discuss how such a model can be applied to information disclosure.

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  • Joseph Y. Halpern & Evan Piermont, 2020. "Dynamic Awareness," Papers 2007.02823, arXiv.org.
    • Handle: RePEc:arx:papers:2007.02823
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    References listed on IDEAS

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    1. Karni, Edi & VierÃÿ, Marie-Louise, 2010. ""Reverse Bayesianism": A Choice-Based Theory of Growing Awareness," Queen's Economics Department Working Papers 273757, Queen's University - Department of Economics.
    2. Heifetz, Aviad & Meier, Martin & Schipper, Burkhard C., 2006. "Interactive unawareness," Journal of Economic Theory, Elsevier, vol. 130(1), pages 78-94, September.
    3. Modica, Salvatore & Rustichini, Aldo, 1999. "Unawareness and Partitional Information Structures," Games and Economic Behavior, Elsevier, vol. 27(2), pages 265-298, May.
    4. James C. Cox & Maroš Servátka & Radovan Vadovič, 2017. "Status quo effects in fairness games: reciprocal responses to acts of commission versus acts of omission," Experimental Economics, Springer;Economic Science Association, vol. 20(1), pages 1-18, March.
    5. Edi Karni & Marie-Louise Vier?, 2013. ""Reverse Bayesianism": A Choice-Based Theory of Growing Awareness," American Economic Review, American Economic Association, vol. 103(7), pages 2790-2810, December.
    6. Halpern, Joseph Y. & Rêgo, Leandro C., 2013. "Reasoning about knowledge of unawareness revisited," Mathematical Social Sciences, Elsevier, vol. 65(2), pages 73-84.
    7. Oliver Board, 2008. "Object-Based Unawareness: Theory and Applications," Working Paper 378, Department of Economics, University of Pittsburgh, revised Mar 2009.
    8. Ignacio Esponda Jr. & Emanuel Vespa Jr., 2014. "Hypothetical Thinking and Information Extraction in the Laboratory," American Economic Journal: Microeconomics, American Economic Association, vol. 6(4), pages 180-202, November.
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