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    BIRTHDAY
    2006
    Springer
    89views Applied Computing» more  BIRTHDAY 2006»
    Research Perspectives for Logic and Deduction
    14 years 2 months ago
    Research Perspectives for Logic and Deduction
    Download  www.intellektik.de
    The article is meant to be kind of the author's manifesto for the role of logic and deduction within Intellectics. Based on a brief analysis of this role the paper presents a...
    Wolfgang Bibel
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    ESANN
    2008
    91views Neural Networks» more  ESANN 2008»
    Phase transitions in Vector Quantization
    14 years 3 days ago
    Phase transitions in Vector Quantization
    Download  www.dice.ucl.ac.be
    Abstract. We study Winner-Takes-All and rank based Vector Quantization along the lines of the statistical physics of off-line learning. Typical behavior of the system is obtained w...
    Aree Witoelar, Anarta Ghosh, Michael Biehl
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    ICONIP
    2007
    147views Information Technology» more  ICONIP 2007»
    Finding Exploratory Rewards by Embodied Evolution and Constrained Reinforcement Learning in the Cyber Rodents
    14 years 2 days ago
    Finding Exploratory Rewards by Embodied Evolution and Constrained Reinforcement Learning in the Cyber Rodents
    Download  www.nc.irp.oist.jp
    The aim of the Cyber Rodent project [1] is to elucidate the origin of our reward and affective systems by building artificial agents that share the natural biological constraints...
    Eiji Uchibe, Kenji Doya
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    AAAI
    2000
    141views Intelligent Agents» more  AAAI 2000»
    Cognitive Status and Form of Reference in Multimodal Human-Computer Interaction
    14 years 14 hour ago
    Cognitive Status and Form of Reference in Multimodal Human-Computer Interaction
    Download  idiom.ucsd.edu
    We analyze a corpus of referring expressions collected from user interactions with a multimodal travel guide application. The analysis suggests that, in dramatic contrast to norma...
    Andrew Kehler
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    ICMAS
    1998
    157views Intelligent Agents» more  ICMAS 1998»
    The Moving Target Function Problem in Multi-Agent Learning
    14 years 8 hour ago
    The Moving Target Function Problem in Multi-Agent Learning
    Download  jmvidal.cse.sc.edu
    We describe a framework that can be used to model and predict the behavior of MASs with learning agents. It uses a difference equation for calculating the progression of an agent&...
    José M. Vidal, Edmund H. Durfee
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