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@COMMENT This file came from Alan K. Mackworth's publication pages at
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@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 ={},
}