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    » Reasoning about strategies of multi-agent programs
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    AAAI
    2007
    99views Intelligent Agents» more  AAAI 2007»
    On the Reasoning Patterns of Agents in Games
    13 years 6 months ago
    On the Reasoning Patterns of Agents in Games
    Download  www.eecs.harvard.edu
    What reasoning patterns do agents use to choose their actions in games? This paper studies this question in the context of Multi-Agent Influence Diagrams (MAIDs). It defines sev...
    Avi Pfeffer, Ya'akov Gal
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    AAAI
    2007
    105views Intelligent Agents» more  AAAI 2007»
    Optimal Multi-Agent Scheduling with Constraint Programming
    13 years 6 months ago
    Optimal Multi-Agent Scheduling with Constraint Programming
    Download  www.andrew.cmu.edu
    We consider the problem of computing optimal schedules in multi-agent systems. In these problems, actions of one agent can influence the actions of other agents, while the object...
    Willem Jan van Hoeve, Carla P. Gomes, Bart Selman,...
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    CLIMA
    2006
    161views Intelligent Agents» more  CLIMA 2006»
    Adding Evolving Abilities to a Multi-Agent System
    13 years 6 months ago
    Adding Evolving Abilities to a Multi-Agent System
    Download  centria.di.fct.unl.pt
    This paper reports on a fertile marriage between madAgents, a Java and Prolog based multi-agent platform, and EVOLP, a logic programming based language to represent and reason abou...
    João Leite, Luís Soares
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    CLIMA
    2006
    261views Intelligent Agents» more  CLIMA 2006»
    Multi-Agent FLUX for the Gold Mining Domain (System Description)
    13 years 6 months ago
    Multi-Agent FLUX for the Gold Mining Domain (System Description)
    Download  cgi.cse.unsw.edu.au
    FLUX is a declarative, CLP-based programming method for the design of agents that reason logically about their actions and sensor information in the presence of incomplete knowledg...
    Stephan Schiffel, Michael Thielscher
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    AAAI
    2006
    129views Intelligent Agents» more  AAAI 2006»
    Distributed Interactive Learning in Multi-Agent Systems
    13 years 6 months ago
    Distributed Interactive Learning in Multi-Agent Systems
    Download  www.aaai.org
    Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily ...
    Jian Huang, Adrian R. Pearce
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