Bibliography
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
: 1M0572, GA MŠk, GA102/08/0567, GA ČR
: knowledge sharing, preference sharing, Bayesian decision makers
(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