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    AAAI
    2008
    123views Intelligent Agents» more  AAAI 2008»
    Multiagent Graph Coloring: Pareto Efficiency, Fairness and Individual Rationality
    14 years 22 days ago
    Multiagent Graph Coloring: Pareto Efficiency, Fairness and Individual Rationality
    Download  www.aaai.org
    We consider a multiagent extension of single-agent graph coloring. Multiple agents hold disjoint autonomous subgraphs of a global graph, and every color used by the agents in colo...
    Yaad Blum, Jeffrey S. Rosenschein
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    ATAL
    2008
    Springer
    109views Intelligent Agents» more  ATAL 2008»
    RIAACT: a robust approach to adjustable autonomy for human-multiagent teams
    14 years 12 days ago
    RIAACT: a robust approach to adjustable autonomy for human-multiagent teams
    Download  www.aamas-conference.org
    When human-multiagent teams act in real-time uncertain domains, adjustable autonomy (dynamic transferring of decisions between human and agents) raises three key challenges. First...
    Nathan Schurr, Janusz Marecki, Milind Tambe
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    AAAI
    2006
    113views Intelligent Agents» more  AAAI 2006»
    A New Approach to Distributed Task Assignment using Lagrangian Decomposition and Distributed Constraint Satisfaction
    13 years 11 months ago
    A New Approach to Distributed Task Assignment using Lagrangian Decomposition and Distributed Constraint Satisfaction
    Download  www.edu.kobe-u.ac.jp
    We present a new formulation of distributed task assignment, called Generalized Mutual Assignment Problem (GMAP), which is derived from an NP-hard combinatorial optimization probl...
    Katsutoshi Hirayama
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    DAGSTUHL
    2003
    139views Software Engineering» more  DAGSTUHL 2003»
    The Autotelic Principle
    13 years 11 months ago
    The Autotelic Principle
    Download  arti.vub.ac.be
    — The paper focuses on the problem how a community of distributed agents may autonomously invent and coordinate lexicons and grammars. Although our earlier experiments have shown...
    Luc Steels
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    AAAI
    1998
    170views Intelligent Agents» more  AAAI 1998»
    The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
    13 years 11 months ago
    The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
    Download  opim.wharton.upenn.edu
    Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
    Caroline Claus, Craig Boutilier
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