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    AAAI
    2006
    104views Intelligent Agents» more  AAAI 2006»
    Inexact Matching of Ontology Graphs Using Expectation-Maximization
    13 years 11 months ago
    Inexact Matching of Ontology Graphs Using Expectation-Maximization
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    We present a new method for mapping ontology schemas that address similar domains. The problem of ontology mapping is crucial since we are witnessing a decentralized development a...
    Prashant Doshi, Christopher Thomas
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    AAAI
    2004
    86views Intelligent Agents» more  AAAI 2004»
    Using Contracts to Influence the Outcome of a Game
    13 years 11 months ago
    Using Contracts to Influence the Outcome of a Game
    Download  www.aaai.org
    We consider how much influence a center can exert on a game if its only power is to propose contracts to the agents before the original game, and enforce the contracts after the g...
    Robert McGrew, Yoav Shoham
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    AAAI
    2006
    112views Intelligent Agents» more  AAAI 2006»
    On the Difficulty of Achieving Equilibrium in Interactive POMDPs
    13 years 11 months ago
    On the Difficulty of Achieving Equilibrium in Interactive POMDPs
    Download  www.cs.uic.edu
    We analyze the asymptotic behavior of agents engaged in an infinite horizon partially observable stochastic game as formalized by the interactive POMDP framework. We show that whe...
    Prashant Doshi, Piotr J. Gmytrasiewicz
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    AAAI
    2004
    172views Intelligent Agents» more  AAAI 2004»
    AI Characters and Directors for Interactive Computer Games
    13 years 11 months ago
    AI Characters and Directors for Interactive Computer Games
    Download  ai.eecs.umich.edu
    We are creating an environment for investigating the role of advanced AI in interactive, story-based computer games. This environment is based on the Unreal Tournament (UT) game e...
    Brian Magerko, John E. Laird, Mazin Assanie, Alex ...
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    AAAI
    2006
    146views Intelligent Agents» more  AAAI 2006»
    Unifying Logical and Statistical AI
    13 years 11 months ago
    Unifying Logical and Statistical AI
    Download  www.cs.washington.edu
    Intelligent agents must be able to handle the complexity and uncertainty of the real world. Logical AI has focused mainly on the former, and statistical AI on the latter. Markov l...
    Pedro Domingos, Stanley Kok, Hoifung Poon, Matthew...
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    AAAI
    2004
    117views Intelligent Agents» more  AAAI 2004»
    Solving Concurrent Markov Decision Processes
    13 years 11 months ago
    Solving Concurrent Markov Decision Processes
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    Typically, Markov decision problems (MDPs) assume a single action is executed per decision epoch, but in the real world one may frequently execute certain actions in parallel. Thi...
    Mausam, Daniel S. Weld
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    AAAI
    2006
    101views Intelligent Agents» more  AAAI 2006»
    Erdos: Cost-Effective Peripheral Robotics for AI Education
    13 years 11 months ago
    Erdos: Cost-Effective Peripheral Robotics for AI Education
    Download  www.cs.hmc.edu
    Zachary Dodds, Ben Tribelhorn
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    AAAI
    2004
    150views Intelligent Agents» more  AAAI 2004»
    A Qualitative-Quantitative Methods-Based e-Learning Support System in Economic Education
    13 years 11 months ago
    A Qualitative-Quantitative Methods-Based e-Learning Support System in Economic Education
    Download  www.aaai.org
    This paper describes a new qualitative-quantitative simulator to help buyers learn how to make decisions when they purchase goods. In this paper, we propose an elearning support s...
    Tokuro Matsuo, Takayuki Ito, Toramatsu Shintani
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    AAAI
    2006
    139views Intelligent Agents» more  AAAI 2006»
    Efficient Triangulation-Based Pathfinding
    13 years 11 months ago
    Efficient Triangulation-Based Pathfinding
    Download  skatgame.net
    Douglas Demyen, Michael Buro
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    AAAI
    2006
    105views Intelligent Agents» more  AAAI 2006»
    Societal Grounding Is Essential to Meaningful Language Use
    13 years 11 months ago
    Societal Grounding Is Essential to Meaningful Language Use
    Download  www.cs.rutgers.edu
    Language engineers often point to tight connections between their systems' linguistic representations and accumulated sensor data as a sign that their systems really mean wha...
    David DeVault, Iris Oved, Matthew Stone
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