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  1. Knowing and supposing in games of perfect information.Horacio Arló-Costa & Cristina Bicchieri - 2007 - Studia Logica 86 (3):353 - 373.
    The paper provides a framework for representing belief-contravening hypotheses in games of perfect information. The resulting t-extended information structures are used to encode the notion that a player has the disposition to behave rationally at a node. We show that there are models where the condition of all players possessing this disposition at all nodes (under their control) is both a necessary and a sufficient for them to play the backward induction solution in centipede games. To obtain this result, we (...)
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  • Capacity updating rules and rational belief change.Matthew J. Ryan - 2001 - Theory and Decision 51 (1):73-87.
    Choquet expected utility substitutes capacities for subjective probabilities to explain uncertainty aversion and related phenomena. This paper studies capacities as models of belief. The notions of inner and outer acceptance context are defined. These are shown to be the natural acceptance contexts when belief expansion is described by naïve Bayesian and Dempster–Shafer updating of capacities respectively. We also show that Eichberger and Kelsey's use of Dempster–Shafer updating as a model of belief revision may lead to violations of the AGM axioms (...)
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  • Axiomatic characterization of the AGM theory of belief revision in a temporal logic.Giacomo Bonanno - 2007 - Artificial Intelligence 171 (2-3):144-160.
    Since belief revision deals with the interaction of belief and information over time, branching-time temporal logic seems a natural setting for a theory of belief change. We propose two extensions of a modal logic that, besides the next-time temporal operator, contains a belief operator and an information operator. The first logic is shown to provide an axiomatic characterization of the first six postulates of the AGM theory of belief revision, while the second, stronger, logic provides an axiomatic characterization of the (...)
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  • Modeling belief in dynamic systems, part I: Foundations.Nir Friedman & Joseph Y. Halpern - 1997 - Artificial Intelligence 95 (2):257-316.
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  • Uncertainty, Rationality, and Agency.Wiebe van der Hoek - 2006 - Dordrecht, Netherland: Springer.
    This volume concerns Rational Agents - humans, players in a game, software or institutions - which must decide the proper next action in an atmosphere of partial information and uncertainty. The book collects formal accounts of Uncertainty, Rationality and Agency, and also of their interaction. It will benefit researchers in artificial systems which must gather information, reason about it and then make a rational decision on which action to take.
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  • Bounds to Memory Loss.Hans K. Hvide - 1999 - Theory and Decision 46 (1):1-21.
    If we express our knowledge in sentences, we will find that these sentences are linked in complex patterns governed by our observations and our inferences from these observations. These inferences are to a large extent driven by logical rules. We ask whether the structure logic imposes on our knowledge restricts what we forget and what we remember. The model is a two period S5 logic. In this logic, we propose a memory loss operator: the agent forgets a sentence pif and (...)
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  • A Simple Modal Logic for Belief Revision.Giacomo Bonanno - 2005 - Synthese 147 (2):193-228.
    We propose a modal logic based on three operators, representing intial beliefs, information and revised beliefs. Three simple axioms are used to provide a sound and complete axiomatization of the qualitative part of Bayes’ rule. Some theorems of this logic are derived concerning the interaction between current beliefs and future beliefs. Information flows and iterated revision are also discussed.
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  • Revising predictions.Giacomo Bonanno - 2001 - In Johan van Benthem (ed.), Theoretical aspects of rationality and knowledge.
    Making a prediction is essentially expressing a belief about the future. It is therefore natural to interpret later predictions as revisions of earlier ones and to investigate the notion of belief revision in this context. We study, both semantically and syntactically, the following principle of minimum revision of prediction: “as long as there are no surprises, that is, as long as what actually occurs had been predicted to occur, then everything which was predicted in the past, if still possible, should (...)
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