2020/07/06 by Joseph Y. Halpern, Halpern, Joseph Y., Evan Piermont +1
Computer Science · Decision Sciences · Economics, Econometrics and Finance · Social Sciences · #Artificial Intelligence (cs.AI) #Auction Theory and Applications #Experimental Behavioral Economics Studies #FOS: Computer and information sciences #FOS: Economics and business #Game Theory and Applications #Logic in Computer Science (cs.LO) #Theoretical Economics (econ.TH) #cs.AI #cs.LO #econ.TH
paper · pdf · doi:10.48550/arxiv.2007.02823
To appear in the 17th International Conference on Principles of Knowledge Representation and Reasoning
arxiv created 2020/07/06 · openalex publication_date 2020/07/06 · arxiv updated 2020/07/07 · openalex created_date 2022/09/03 · openalex updated_date 2026/07/28
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 ϕ 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.