Konferenční příspěvek

Kárný M., Guy T.

Decision Making with Multiple Imperfect Decision Makers

Institute of Information Theory and Automation Academy of Sc

Prague

2010

978-80-903834-5-6

Ing. Miroslav Kárný, DrSc. (ÚTIA - Oddělení adaptivních systémů)

knowledge sharing, preference sharing, Bayesian decision mak

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.