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    FLAIRS
    2006
    129views Artificial Intelligence» more  FLAIRS 2006»
    A Case-Based Approach to Explore Validation Experience
    13 years 8 months ago
    A Case-Based Approach to Explore Validation Experience
    Download  www.aaai.org
    The success of TURING Test technologies for system validation depends on the quality of the human expertise behind the system. As an additional source of human experts' valid...
    Rainer Knauf, Setsuo Tsuruta
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    ATAL
    2010
    Springer
    135views Intelligent Agents» more  ATAL 2010»
    CTL.STIT: enhancing ATL to express important multi-agent system verification properties
    13 years 8 months ago
    CTL.STIT: enhancing ATL to express important multi-agent system verification properties
    Download  www.ai.rug.nl
    We present the logic CTL.STIT, which is the join of the logic CTL with a multi-agent strategic stit-logic variant. CTL.STIT subsumes ATL, and adds expressivity to it that we claim...
    Jan Broersen
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    FLAIRS
    2006
    107views Artificial Intelligence» more  FLAIRS 2006»
    Explicating Semantic Relations in Non-Monotonic Theories to Facilitate Validation Analysis
    13 years 8 months ago
    Explicating Semantic Relations in Non-Monotonic Theories to Facilitate Validation Analysis
    Download  www.aaai.org
    The inherent vagueness and ambiguity of non-monotonic reasoning makes it impossible to formulate detailed specifications to validate KBS performance by using traditional test-case...
    Neli Zlatareva
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    FLAIRS
    2006
    93views Artificial Intelligence» more  FLAIRS 2006»
    Fast Generation of a Sequence of Trained and Validated Feed-Forward Networks
    13 years 8 months ago
    Fast Generation of a Sequence of Trained and Validated Feed-Forward Networks
    Download  www-ee.uta.edu
    In this paper, three approaches are presented for generating and validating sequences of different size neural nets. First, a growing method is given along with several weight ini...
    Pramod Lakshmi Narasimha, Walter Delashmit, Michae...
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    AAAI
    2006
    101views Intelligent Agents» more  AAAI 2006»
    Constraint-Based Random Stimuli Generation for Hardware Verification
    13 years 9 months ago
    Constraint-Based Random Stimuli Generation for Hardware Verification
    Download  www.aaai.org
    We report on random stimuli generation for hardware verification in IBM as a major application of various artificial intelligence technologies, including knowledge representation,...
    Yehuda Naveh, Michal Rimon, Itai Jaeger, Yoav Katz...
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