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    IJCAI
    2003
    107views Artificial Intelligence» more  IJCAI 2003»
    Recognizing Plan/Goal Abandonment
    15 years 6 months ago
    Recognizing Plan/Goal Abandonment
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    The ability to recognize when an agent abandons a plan is an open problem in the plan recognition literature and is a significant problem if these methods are to be applied in rea...
    Christopher W. Geib, Robert P. Goldman
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    IJCAI
    2003
    93views Artificial Intelligence» more  IJCAI 2003»
    Logic Programs for Consistently Querying Data Integration Systems
    15 years 6 months ago
    Logic Programs for Consistently Querying Data Integration Systems
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    We solve the problem of obtaining answers to queries posed to a mediated integration system un­ der the local-as-view paradigm that are consistent wrt to certain global integrity...
    Loreto Bravo, Leopoldo E. Bertossi
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    IJCAI
    2003
    107views Artificial Intelligence» more  IJCAI 2003»
    Great Expectations. Part II: Generalized Expected Utility as a Universal Decision Rule
    15 years 6 months ago
    Great Expectations. Part II: Generalized Expected Utility as a Universal Decision Rule
    Download  www.cs.cornell.edu
    Many different rules for decision making have been introduced in the literature. We show that a notion of generalized expected utility proposed in [Chu and Halpern 2003] is a uni...
    Francis C. Chu, Joseph Y. Halpern
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    IJCAI
    2003
    96views Artificial Intelligence» more  IJCAI 2003»
    Extended Gloss Overlaps as a Measure of Semantic Relatedness
    15 years 6 months ago
    Extended Gloss Overlaps as a Measure of Semantic Relatedness
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    This paper presents a new measure of semantic relatedness between concepts that is based on the number of shared words (overlaps) in their definitions (glosses). This measure is ...
    Satanjeev Banerjee, Ted Pedersen
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    IJCAI
    2003
    117views Artificial Intelligence» more  IJCAI 2003»
    A General Model for Online Probabilistic Plan Recognition
    15 years 6 months ago
    A General Model for Online Probabilistic Plan Recognition
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    We present a new general framework for online istic plan recognition called the Abstract Hidden Markov Memory Model (AHMEM). The l is an extension of the existing Abstract Hidden ...
    Hung Hai Bui
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