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    » Knowledge Representation for Conceptual Simulation Modeling
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    CAISE
    2004
    Springer
    183views Information Technology» more  CAISE 2004»
    Achieving Enterprise Model Interoperability through the Model-Based Architecture Framework for Enterprises
    14 years 1 months ago
    Achieving Enterprise Model Interoperability through the Model-Based Architecture Framework for Enterprises
    Download  sunsite.informatik.rwth-aachen.de
    This paper describes an ontology for enterprise modelling, The ontology has enabled conceptual integration of two different modelling methodologies, one based on UEML (Unified Ente...
    Håvard D. Jørgensen, Oddrun Pauline O...
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    WSC
    2004
    266views Modeling And Simulation» more  WSC 2004»
    Two-Step 3-Dimensional Sketching Tool for New Product Development
    13 years 9 months ago
    Two-Step 3-Dimensional Sketching Tool for New Product Development
    Download  www.informs-sim.org
    This paper discusses a two-step virtual reality based conceptual design tool that enables industrial designers to create sketches of their ideas in 3-dimensional space in real tim...
    Ali Akgunduz, Hang Yu
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    ATAL
    2010
    Springer
    171views Intelligent Agents» more  ATAL 2010»
    Closing the learning-planning loop with predictive state representations
    13 years 8 months ago
    Closing the learning-planning loop with predictive state representations
    Download  www.cs.cmu.edu
    A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
    Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
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    WSC
    1998
    130views Modeling And Simulation» more  WSC 1998»
    ExpertFit: Total Support for Simulation Input Modeling
    13 years 9 months ago
    ExpertFit: Total Support for Simulation Input Modeling
    Download  www.informs-sim.org
    In this paper, we discuss the critical role of simulation input modeling in a successful simulation study. Two pitfalls in simulation input modeling are then presented and we expl...
    Averill M. Law, Michael G. McComas
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    IJCAI
    1989
    173views Artificial Intelligence» more  IJCAI 1989»
    Integrating Knowledge-Based System and Neural Network Techniques for Robotic Skill Acquisition
    13 years 8 months ago
    Integrating Knowledge-Based System and Neural Network Techniques for Robotic Skill Acquisition
    Download  dli.iiit.ac.in
    This paper describes an approach to robotic control that is patterned after models of human skill acquisition. The intent is to develop robots capable of learning how to accomplis...
    David Handelman, Stephen Lane, Jack Gelfand
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