25 found
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  1.  27
    Nonmonotonic Reasoning and Causation.Yoav Shoham - 1990 - Cognitive Science 14 (2):213-252.
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  2.  30
    Efficient Reasoning About Rich Temporal Domains.Yoav Shoham - 1988 - 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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  3. Logical Theories of Intention and the Database Perspective.Yoav Shoham - 2009 - 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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  4.  29
    Deriving Properties of Belief Update From Theories of Action.Alvaro Del Val & Yoav Shoham - 1994 - Journal of Logic, Language and Information 3 (2):81-119.
  5.  9
    Belief Fusion: Aggregating Pedigreed Belief States. [REVIEW]Pedrito Maynard-Reid II & Yoav Shoham - 2001 - 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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  6.  7
    Remarks on Simon's Comments.Yoav Shoham - 1991 - Cognitive Science 15 (2):301-303.
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  7. Economic Principles of Multi-Agent Systems.Craig Boutilier, Yoav Shoham & Michael P. Wellman - 1997 - Artificial Intelligence 94 (1-2):1-6.
  8. On the Knowledge Requirements of Tasks.Ronen I. Brafman, Joseph Y. Halpern & Yoav Shoham - 1998 - Artificial Intelligence 98 (1-2):317-349.
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  9. Ranking Games.Felix Brandt, Felix Fischer, Paul Harrenstein & Yoav Shoham - 2009 - Artificial Intelligence 173 (2):221-239.
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  10. A Logic of Knowledge and Justified Assumptions.Fangzhen Lin & Yoav Shoham - 1992 - Artificial Intelligence 57 (2-3):271-289.
  11. Belief as Defeasible Knowledge.Yoram Moses & Yoav Shoham - 1993 - Artificial Intelligence 64 (2):299-321.
  12. Fault Tolerant Mechanism Design.Ryan Porter, Amir Ronen, Yoav Shoham & Moshe Tennenholtz - 2008 - Artificial Intelligence 172 (15):1783-1799.
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  13. Agent-Oriented Programming.Yoav Shoham - 1993 - Artificial Intelligence 60 (1):51-92.
  14. Chronological Ignorance: Experiments in Nonmonotonic Temporal Reasoning.Yoav Shoham - 1988 - Artificial Intelligence 36 (3):279-331.
  15. If Multi-Agent Learning is the Answer, What is the Question?Yoav Shoham, Rob Powers & Trond Grenager - 2007 - Artificial Intelligence 171 (7):365-377.
  16. Implementing the Intentional Stance.Yoav Shoham - 1991 - In Philosophy and AI. Cambridge: MIT Press.
     
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  17. On Social Laws for Artificial Agent Societies: Off-Line Design.Yoav Shoham & Moshe Tennenholtz - 1995 - Artificial Intelligence 73 (1-2):231-252.
  18. On the Emergence of Social Conventions: Modeling, Analysis, and Simulations.Yoav Shoham & Moshe Tennenholtz - 1997 - Artificial Intelligence 94 (1-2):139-166.
  19. Philosophy and AI.Yoav Shoham - 1991 - Cambridge: MIT Press.
     
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  20.  1
    Problems in Formal Temporal Reasoning.Yoav Shoham & Drew McDermott - 1988 - Artificial Intelligence 36 (1):49-61.
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  21. Temporal Logics in AI: Semantical and Ontological Considerations.Yoav Shoham - 1987 - Artificial Intelligence 33 (1):89-104.
  22. Designing Competitions Between Teams of Individuals.Pingzhong Tang, Yoav Shoham & Fangzhen Lin - 2010 - Artificial Intelligence 174 (11):749-766.
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  23. Deriving Properties of Belief Update From Theories of Action.Alvaro Vadell & Yoav Shoham - 1994 - 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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  24.  19
    Deriving Properties of Belief Update From Theories of Action.Alvaro Val & Yoav Shoham - 1994 - 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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  25.  34
    Editorial: Cognitive Actions in Focus. [REVIEW]Johan van Benthem & Yoav Shoham - 1997 - Journal of Logic, Language and Information 6 (2):119-121.