Original title: Sharing of knowledge and preferences among imperfect Bayesian decision makers
Authors: Kárný, Miroslav ; Guy, Tatiana Valentine
Document type: Papers
Conference/Event: 24th Annual Conference on Neural Information Processing Systems, Whistler, B.C. Canada (CA), 2010-12-06 / 2010-12-11
Year: 2010
Language: eng
Abstract: 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.
Keywords: Bayesian decision makers; knowledge sharing; preference sharing
Project no.: CEZ:AV0Z10750506 (CEP), 1M0572 (CEP), GA102/08/0567 (CEP)
Funding provider: GA MŠk, GA ČR
Host item entry: Decision Making with Multiple Imperfect Decision Makers, ISBN 978-80-903834-5-6

Institution: Institute of Information Theory and Automation AS ČR (web)
Document availability information: Fulltext is available at external website.
External URL: http://library.utia.cas.cz/separaty/2010/AS/karny-sharing of knowledge and preferences among imperfect bayesian decision makers.pdf
Original record: http://hdl.handle.net/11104/0190730

Permalink: http://www.nusl.cz/ntk/nusl-42077


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Research > Institutes ASCR > Institute of Information Theory and Automation
Conference materials > Papers