0350838 20240103194244.920110104235959.9 6 s. cav_un_epca*0352233978-80-903834-5-61-6PragueInstitute of Information Theory and Automation Academy of Sciences of the Czech Republic2010GuyTatiana V.KarnyMiroslavWolpertDavid knowledge sharing preference sharing Bayesian decision makers cav_un_auth*0101124 Kárný Miroslav Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101092 Guy Tatiana Valentine Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2010/AS/karny-sharing of knowledge and preferences among imperfect bayesian decision makers.pdf 1M0572 GA MŠk CZ cav_un_auth*0001814 GA102/08/0567 GA ČR cav_un_auth*0239566 CEZ:AV0Z10750506 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. cav_un_auth*0266426 24th Annual Conference on Neural Information Processing Systems Whistler, B.C. Canada 06.12.2010-11.12.2010 CA 2011 BB http://hdl.handle.net/11104/0190730 2010 cav_un_epca*0352233 Decision Making with Multiple Imperfect Decision Makers 978-80-903834-5-6 1 6 Prague Institute of Information Theory and Automation Academy of Sciences of the Czech Republic 2010 Guy Tatiana V. 340 Karny Miroslav 340 Wolpert David 340