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The control of reasoning under uncertainty: A discussion of some programs*

Published online by Cambridge University Press:  07 July 2009

Paul R. Cohen
Paul R. Cohen
Affiliation:
Department of Computer and Information Science, University of Massachusetts, Amherst, MA 01003†
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Abstract

This paper proposes that managing uncertainty is a control problem, a task for the control component of AI systems that decides what to do next. This view emphasizes the process of planning and executing sequences of actions that simultaneously satisfy domain goals and minimize uncertainty. The paper reviews AI systems that manage uncertainty by control. It is not an exhaustive survey, but rather illustrates issues in managing uncertainty with selected AI programs.

Information

Type
Research Article
Information
The Knowledge Engineering Review , Volume 2 , Issue 1 , March 1987, pp. 5 - 25
Copyright
Copyright © Cambridge University Press 1987

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