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  1. Yoav Shoham (2009). Logical Theories of Intention and the Database Perspective. Journal of Philosophical Logic 38 (6):633 - 647.
    While logical theories of information attitudes, such as knowledge, certainty and belief, have flourished in the past two decades, formalization of other facets of rational behavior have lagged behind significantly. One intriguing line of research concerns the concept of intention. I will discuss one approach to tackling the notion within a logical framework, based on a database perspective.
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  2. Pedrito Maynard-Reid II & Yoav Shoham (2001). Belief Fusion: Aggregating Pedigreed Belief States. [REVIEW] Journal of Logic, Language and Information 10 (2):183-209.
    We introduce a new operator – belief fusion– which aggregates the beliefs of two agents, each informed by a subset of sources ranked by reliability. In the process we definepedigreed belief states, which enrich standard belief states with the source of each piece of information. We note that the fusion operator satisfies the invariants of idempotence, associativity, and commutativity. As a result, it can be iterated without difficulty. We also define belief diffusion; whereas fusion generally produces a belief state with (...)
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  3. Pedrito Maynard-Reid & Yoav Shoham (2001). Belief Fusion: Aggregating Pedigreed Belief States. Journal of Logic, Language and Information 10 (2).
    We introduce a new operator – belief fusion– which aggregates the beliefs of two agents, each informed by a subset of sources ranked by reliability. In the process we definepedigreed belief states, which enrich standard belief states with the source of each piece of information. We note that the fusion operator satisfies the invariants of idempotence, associativity, and commutativity. As a result, it can be iterated without difficulty. We also define belief diffusion; whereas fusion generally produces a belief state with (...)
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  4. Johan van Benthem & Yoav Shoham (1997). Editorial: Cognitive Actions in Focus. [REVIEW] Journal of Logic, Language and Information 6 (2):119-121.
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  5. Alvaro Del Val & Yoav Shoham (1994). Deriving Properties of Belief Update From Theories of Action. Journal of Logic, Language and Information 3 (2):81-119.
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  6. Alvaro Vadell & Yoav Shoham (1994). Deriving Properties of Belief Update From Theories of Action. Journal of Logic, Language and Information 3 (2).
    We present an approach to database update as a form of non monotonic temporal reasoning, the main idea of which is the (circumscriptive) minimization of changes with respect to a set of facts declared persistent by default. The focus of the paper is on the relation between this approach and the update semantics recently proposed by Katsuno and Mendelzon. Our contribution in this regard is twofold: • We prove a representation theorem for KM semantics in terms of a restricted subfamily (...)
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  7. Alvaro Val & Yoav Shoham (1994). Deriving Properties of Belief Update From Theories of Action. Journal of Logic, Language and Information 3 (2):81-119.
    We present an approach to database update as a form of non monotonic temporal reasoning, the main idea of which is the (circumscriptive) minimization of changes with respect to a set of facts declared “persistent by default”. The focus of the paper is on the relation between this approach and the update semantics recently proposed by Katsuno and Mendelzon. Our contribution in this regard is twofold:We prove a representation theorem for KM semantics in terms of a restricted subfamily of the (...)
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  8. Yoav Shoham (1991). Implementing the Intentional Stance. In Philosophy and AI. Cambridge: MIT Press.
     
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  9. Yoav Shoham (1991). Philosophy and AI. Cambridge: MIT Press.
     
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  10. Yoav Shoham (1991). Remarks on Simon's Comments. Cognitive Science 15 (2):301-303.
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  11. Yoav Shoham (1990). Nonmonotonic Reasoning and Causation. Cognitive Science 14 (2):213-252.
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  12. Yoav Shoham (1988). Efficient Reasoning About Rich Temporal Domains. Journal of Philosophical Logic 17 (4):443 - 474.
    We identify two pragmatic problems in temporal reasoning, the qualification problem and the extended prediction problem, the latter subsuming the infamous frame problem. Solutions to those seem to call for nonmonotonic inferences, and yet naive use of standard nonmonotonic logics turns out to be inappropriate. Looking for an alternative, we first propose a uniform approach to constructing and understanding nonmonotonic logics. This framework subsumes many existing nonmonotonic formalisms, and yet is remarkably simple, adding almost no extra baggage to traditional logic. (...)
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