16 December 1992 Epistemic utility estimation
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Abstract
We apply an epistemological model of rational decision making developed by Isaac Levi to the estimation problem. The estimators thus developed are optimal with respect to an epistemic utility function that accounts for the cost of error, the decision agent's assessment of informational value, and the decision agent's specified willingness to risk errors in exchange for information acquisition; the estimators are inherently set-valued. We apply Levi's stable acceptance procedure to the estimation process, facilitating the use of unnormalized probability densities. As an example of the theory, we develop algorithms to apply an epistemic utility estimator to the output of a set-valued Kalman filter.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Darryl R. Morrell "Epistemic utility estimation", Proc. SPIE 1766, Neural and Stochastic Methods in Image and Signal Processing, (16 December 1992); doi: 10.1117/12.130861; https://doi.org/10.1117/12.130861
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