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Decision Making with Imperfect Decision Makers

SYSNO ASEP	0364850
Document Type	M - Monograph Chapter
R&D Document Type	Monograph Chapter
Title	On Support of Imperfect Bayesian Participants
Author(s)	Kárný, Miroslav (UTIA-B)_{RID, ORCID} Guy, Tatiana Valentine (UTIA-B)_{RID, ORCID}
Source Title	Decision Making with Imperfect Decision Makers, On Support of Imperfect Bayesian Participants, chapter 2. - Berlin Heidelberg : Springer, 2012 - ISBN 978-3-642-24646-3
Pages	s. 29-56
Number of pages	27 s.
Number of pages	210
Language	eng - English
Country	DE - Germany
Keywords	Decision Making ; Imperfect Decision Makers ; Intelligent Systems
Subject RIV	IN - Informatics, Computer Science
R&D Projects	1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
	GA102/08/0567 GA ČR - Czech Science Foundation (CSF)
CEZ	AV0Z10750506 - UTIA-B (2005-2011)
UT WOS	000303779200002
EID SCOPUS	84885647522
DOI	10.1007/978-3-642-24647-0
Annotation	Bayesian decision theory provides a strong theoretical basis for a singleparticipant decision making under uncertainty, that can be extended to multipleparticipant decision making. However, this theory (similarly as others) assumes unlimited abilities of a participant to probabilistically model the participant’s environment and to optimise its decision-making strategy. The proposed methodology solves knowledge and preference elicitation, as well as sharing of individual, possibly fragmental, knowledge and preferences among imperfect participants. The approach helps to overcome the non-realistic assumption on participants’ unlimited abilities.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2012

Number of the records: 1