A Dual Approach to Bayesian Inference and Adaptive Control
AbstractThis article surveys results established to date for the "criterion filtering" approach to adaptive control. Criterion filtering bypasses the usual preliminary updating of probability distributions via transitional probability assessments (Bayes' rule) and focuses instead on the direct updating of the criterion function, itself, via transitional return assessments. Annotated pointers to related work can be accessed here: http://www.econ.iastate.edu/tesfatsi/cfhome.htm
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Bibliographic InfoPaper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 11213.
Date of creation: 01 Jan 1982
Date of revision:
Publication status: Published in Theory and Decision 1982, vol. 14, pp. 177-194
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Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070
Phone: +1 515.294.6741
Fax: +1 515.294.0221
Web page: http://www.econ.iastate.edu
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behavioral economics; Learning; Bayes' rule; criterion filtering;
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