| | Decision Theory in Expert Systems and Artificial Intelligence |
Bibtype
article
Has publishing details
,,247-302,1988
Has title
Decision Theory in Expert Systems and Artificial Intelligence
Has where published
Journal of Approximate Reasoning, Special Issue on Uncertainty in Artificial Intelligence
Has year
1988
Title
Decision Theory in Expert Systems and Artificial Intelligence
Year
1988
Abstract
Despite their different perspectives, arti … Despite their different perspectives, artificial intelligence (AI) and the disciplines of decision science have common roots and strive for similar goals. This paper surveys the potential for addressing problems in representation, inference, knowledge engineering, and explanation within the decision-theoretic framework. Recent analyses of the restrictions of several traditional AI reasoning techniques, coupled with the development of more tractable and expressive decision-theoretic representation and inference strategies has stimulated renewed interest in decision theory and decision analysis. We describe early experience with simple probabilistic schemes for automated reasoning, review the dominant expert-system paradigm, and survey some recent research at the crossroads of AI and decision science. In particular, we present the belief network and influence diagram representations. Finally, we discuss issues that have not been studied in detail withing the expert systems setting, yet are crucial for developing theoretical methods and computational architectures for automated reasoners. nal architectures for automated reasoners.
Note
Postscript of this article can be found at http://www.research.microsoft.com/research/dtg/horvitz/DT.HTM.
Author
Eric Horvitz and John S. Breese and Max Henrion +
Has author
Eric Horvitz and John S. Breese and Max Henrion +
Has identifier
Title=Decision Theory in Expert Systems and Artificial Intelligence +
Journal
Journal of Approximate Reasoning, Special Issue on Uncertainty in Artificial Intelligence +
Ksl tr id
Title=Decision Theory in Expert Systems and Artificial Intelligence +
Pages
247-302 +
Process note
GOOGLE +
Categories Article +, KSL Technical Report +, Publication +
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