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    NEUROSCIENCE
    2001
    Springer
    261views Applied Computing» more  NEUROSCIENCE 2001»
    Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
    14 years 28 days ago
    Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
    Download  www.cs.iastate.edu
    We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
    Doina Caragea, Adrian Silvescu, Vasant Honavar
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    JCB
    2006
    185views more  JCB 2006»
    A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networks
    13 years 8 months ago
    A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networks
    Download  www.math.tau.ac.il
    Biological systems are traditionally studied by focusing on a specific subsystem, building an intuitive model for it, and refining the model using results from carefully designed ...
    Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
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    IJBC
    2008
    112views more  IJBC 2008»
    Computation and Visualization of bifurcation Surfaces
    13 years 8 months ago
    Computation and Visualization of bifurcation Surfaces
    Download  www.mpipks-dresden.mpg.de
    The localization of critical parameter sets called bifurcations is often a central task of the analysis of a nonlinear dynamical system. Bifurcations of codimension 1 that can be ...
    Dirk Stiefs, Thilo Gross, Ralf Steuer, Ulrike Feud...
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    AR
    2002
    157views more  AR 2002»
    Acquiring state from control dynamics to learn grasping policies for robot hands
    13 years 8 months ago
    Acquiring state from control dynamics to learn grasping policies for robot hands
    Download  www.mit.edu
    Abstract--A prominent emerging theory of sensorimotor development in biological systems proposes that control knowledge is encoded in the dynamics of physical interaction with the ...
    Roderic A. Grupen, Jefferson A. Coelho Jr.
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    AAAI
    2011
    178views Intelligent Agents» more  AAAI 2011»
    Combining Learned Discrete and Continuous Action Models
    12 years 8 months ago
    Combining Learned Discrete and Continuous Action Models
    Download  www.eecs.umich.edu
    Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
    Joseph Z. Xu, John E. Laird
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