Peter Stone's Selected Publications

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Learning and Multiagent Reasoning for Autonomous Agents

Peter Stone. Learning and Multiagent Reasoning for Autonomous Agents. In The 20th International Joint Conference on Artificial Intelligence, pp. 13–30, January 2007.
IJCAI-07

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Abstract

One goal of Artificial Intelligence is to enable the creation of robust, fully autonomous agents that can coexist with us in the real world. Such agents will need to be able to learn, both in order to correct and circumvent their inevitable imperfections, and to keep up with a dynamically changing world. They will also need to be able to interact with one another, whether they share common goals, they pursue independent goals, or their goals are in direct conflict. This paper presents current research directions in machine learning, multiagent reasoning, and robotics, and advocates their unification within concrete application domains. Ideally, new theoretical results in each separate area will inform practical implementations while innovations from concrete multiagent applications will drive new theoretical pursuits, and together these synergistic research approaches will lead us towards the goal of fully autonomous agents.

BibTeX Entry

@InProceedings{IJCAI07-award,
        author="Peter Stone",
	title="Learning and Multiagent Reasoning for Autonomous Agents",
	BookTitle="The 20th International Joint Conference on Artificial Intelligence",
	month="January",year="2007",
	pages="13--30",
	abstract=" 
                  One goal of Artificial Intelligence is to enable the
                  creation of robust, fully autonomous agents that can
                  coexist with us in the real world.  Such agents will
                  need to be able to learn, both in order to correct
                  and circumvent their inevitable imperfections, and
                  to keep up with a dynamically changing world.  They
                  will also need to be able to interact with one
                  another, whether they share common goals, they
                  pursue independent goals, or their goals are in
                  direct conflict.  This paper presents current
                  research directions in machine learning, multiagent
                  reasoning, and robotics, and advocates their
                  unification within concrete application domains.
                  Ideally, new theoretical results in each separate
                  area will inform practical implementations while
                  innovations from concrete multiagent applications
                  will drive new theoretical pursuits, and together
                  these synergistic research approaches will lead us
                  towards the goal of fully autonomous agents.
	         ",
	wwwnote={<a href="http://www.ijcai-07.org/">IJCAI-07</a>},
}

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