A computational model of resource-bounded reasoning and decision-making under uncertainty

Technical Report

Public Deposited

Citeable URL: https://ir.library.oregonstate.edu/concern/technical_reports/9w032b34r

Descriptions

Attribute Name	Values
Creator	D'Ambrosio, Bruce
Abstract	A complete approach to uncertainty management requires support for interactive and incremental problem formulation, inference, hypothesis ranking, and decision making. In addition, computational models must allow for time and resource bounds. Current approaches to uncertainty management concentrate primarily on inference, provide little or no support for the larger issues in reasoning under uncertainty, and ignore computational concerns. This paper presents the beginnings of comprehensive computational model for real-time and resource-bounded reasoning and decision making under uncertainty.
Resource Type	Technical Report
Date Issued	1988-08-16
Academic Affiliation	Computer Science
Series	Technical report (Oregon State University. Department of Computer Science)
Rights Statement	In Copyright
Publisher	Oregon State University. Department of Computer Science
Peer Reviewed	No
Language	English [eng]

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