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  1. John Grant, Sarit Kraus, Michael Wooldridge & Inon Zuckerman (2014). Manipulating Games by Sharing Information. Studia Logica 102 (2):267-295.
    We address the issue of manipulating games through communication. In the specific setting we consider (a variation of Boolean games), we assume there is some set of environment variables, the values of which are not directly accessible to players; the players have their own beliefs about these variables, and make decisions about what actions to perform based on these beliefs. The communication we consider takes the form of (truthful) announcements about the values of some environment variables; the effect of an (...)
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  2. Avi Rosenfeld, Inon Zuckerman, Amos Azaria & Sarit Kraus (2012). Combining Psychological Models with Machine Learning to Better Predict People's Decisions. Synthese 189 (S1):81-93.
    Creating agents that proficiently interact with people is critical for many applications. Towards creating these agents, models are needed that effectively predict people's decisions in a variety of problems. To date, two approaches have been suggested to generally describe people's decision behavior. One approach creates a-priori predictions about people's behavior, either based on theoretical rational behavior or based on psychological models, including bounded rationality. A second type of approach focuses on creating models based exclusively on observations of people's behavior. At (...)
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  3. Sarit Kraus (2011). John Grant Sarit Kraus Michael Wooldridge Inon Zuckerman. Studia Logica 999:1-24.
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  4. Sarit Kraus (2001). Multi-Agent Systems and Applications, Volume 2086 Of. In P. Bouquet (ed.), Lecture Notes in Artificial Intelligence. Kluwer. 150--172.
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  5. Michael Morreau & Sarit Kraus (1998). Syntactical Treatments of Propositional Attitudes. Artificial Intelligence 106 (1):161-177.
    Syntactical treatments of propositional attitudes are attractive to artificial intelligence researchers. But results of Montague (1974) and Thomason (1980) seem to show that syntactical treatments are not viable. They show that if representation languages are sufficiently expressive, then axiom schemes characterizing knowledge and belief give rise to paradox. Des Rivières and Levesque (1988) characterize a class of sentences within which these schemes can safely be instantiated. These sentences do not quantify over the propositional objects of knowledge and belief. We argue (...)
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  6. Tatjana L. Plotkin, Sarit Kraus & Boris I. Plotkin (1998). Problems of Equivalence, Categoricity of Axioms and States Description in Databases. Studia Logica 61 (3):347-366.
    The paper is devoted to applications of algebraic logic to databases. In databases a query is represented by a formula of first order logic. The same query can be associated with different formulas. Thus, a query is a class of equivalent formulae: equivalence here being similar to that in the transition to the Lindenbaum-Tarski algebra. An algebra of queries is identified with the corresponding algebra of logic. An algebra of replies to the queries is also associated with algebraic logic. These (...)
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