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National Repository of Grey Literature 1 records found  Search took 0.01 seconds. 
Sharing of knowledge and preferences among imperfect Bayesian decision makers
 Kárný, Miroslav ; Guy, Tatiana Valentine
Bayesian decision theory provides a strong theoretical basis for a single-participant decision making under uncertainty, that can be extended to multi-participant problems. However Bayesian decision theory assumes unlimited abilities of a participant to probabilistically model participant´s environment and to optimise decision-making strategy. The paper proposes a methodology for sharing of knowledge and strategies among participants, that helps to overcome the non-realistic assumption on participant´s unlimited abilities.
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