Alan K. Mackworth's Publications

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Dimensions of Complexity of Intelligent Agents

D. L. Poole and Alan K. Mackworth. Dimensions of Complexity of Intelligent Agents. In Proceedings of the International Symposium on Practical Cognitive Agents and Robots, pp. 81–92, ACM Press, New York, NY, November 2006.

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Abstract

This paper aims to provide a framework for understanding the construction of intelligent agents. This is used to explain the history of AI, and provide a roadmap of future research. Research has progressed by making simplifying assumptions about the representations of the agents or about the environments the agents act in. In particular, we present a number of dimensions of simplifying assumptions that have been made. For each of these dimensions, there is a simplified case and progressively more complex cases. We argue that an intelligent agent needs the complex value in each of these dimensions (i.e., to simultaneously give up many simplifying assumptions). However these dimensions interact in complex ways. Much of the recent history can be seen as understanding the interaction of these dimensions.

BibTeX

@InProceedings{PCAR06,
  author =	 {D. L. Poole and Alan K. Mackworth},
  title =	 {Dimensions of Complexity of Intelligent Agents},
  year =	 {2006}, 
  month =        {November},
  booktitle =	 {Proceedings of the International Symposium on Practical Cognitive Agents and Robots}, 
  publisher  =   {ACM Press},
  address =      {New York, NY},
  pages =         {81--92},
  abstract =	 {This paper aims to provide a framework for understanding the construction
                  of intelligent agents. This is used to explain the history of AI, and provide
                  a roadmap of future research. Research has progressed by making simplifying
                  assumptions about the representations of the agents or about the environments
                  the agents act in. In particular, we present a number of dimensions of simplifying
                  assumptions that have been made. For each of these dimensions, there is a simplified
                  case and progressively more complex cases. We argue that an intelligent
                  agent needs the complex value in each of these dimensions (i.e., to simultaneously
                  give up many simplifying assumptions). However these dimensions interact
                  in complex ways. Much of the recent history can be seen as understanding the
                  interaction of these dimensions.},
  bib2html_pubtype ={Refereed Conference Proceeding},
  bib2html_rescat ={},
}

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