A measure of decision flexibility

Authors:
Ross D. Shachter;Marvin Mandelbaum
Affiliations:
Department of Engineering-Economic Systems, Terman Engineering Center, Stanford University, Stanford, CA;Dept. of Computer Science and Math., Atkinson College, York University, North York, Ontario, Canada
Venue:
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Year:
1996

Citing 2
Cited 2

Computation and action under bounded resources

Computation and action under bounded resources
Decision flexibility

UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence

Learning a decision maker's utility function from (possibly) inconsistent behavior

Artificial Intelligence
Learning a decision maker's utility function from (possibly) inconsistent behavior

Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

We propose a decision-analytical approach to comparing the flexibility of decision sitnations from the perspective of a decisionmaker who exhibits constant risk-aversion over a monetary value model. Our approach is simple yet seems to be consistent with a variety of flexibility concepts, including robust and adaptive alternatives. We try to compensate within the model for uncertainty that was not anticipated or not modeled. This approach not only allows one to compare the flexibility of plans, but also guides the search for new, more flexible alternatives.