Bibliografie

Conference Paper (international conference)

Sharing of knowledge and preferences among imperfect Bayesian decision makers

: Decision Making with Multiple Imperfect Decision Makers, p. 1-6 , Eds: Guy Tatiana V., Karny Miroslav, Wolpert David

: 24th Annual Conference on Neural Information Processing Systems, (Whistler, B.C. Canada, CA, 06.12.2010-11.12.2010)

: CEZ:AV0Z10750506

: knowledge sharing, preference sharing, Bayesian decision makers

: http://library.utia.cas.cz/separaty/2010/AS/karny-sharing of knowledge and preferences among imperfect bayesian decision makers.pdf

(eng): 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.

: BB