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Reflection and Action Under Scarce Resources: Theoretical Principles and Empirical Study

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Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Commonsense Reasoning. Pages 1121-1126.

Abstract

We define and exercise the expected value of computation as a fundamental component of reflection about alternative inference strategies. We present a portion of Protos research focused on the interlacing of reflection and action under scarce resources, and discuss how the techniques have been applied in a high-stakes medical domain. The work centers on endowing a computational agent with the ability to harness incomplete characterizations of problemsolving performance to control the amount of effort applied to a problem or subproblem, before taking action in the world or turning to another problem . We explore the use of the techniques in controlling decision-theoretic inference itself, and pose the approach as a model of rationality under scarce resources.

Eric Horvitz, Gregory F. Cooper, and David Heckerman. 1989. Reflection and Action Under Scarce Resources: Theoretical Principles and Empirical Study. In Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89. IJCAI, 1121–1126. https://ijcai.org/proceedings/1989/180
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