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Cooperation via sharing of probabilistic information
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SYSNO ASEP 0339283 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Ostatní články Title Cooperation via sharing of probabilistic information Author(s) Kárný, Miroslav (UTIA-B) RID, ORCID
Guy, Tatiana Valentine (UTIA-B) RID, ORCID
Bodini, A. (IT)
Ruggeri, F. (IT)Source Title International Journal of Computational Intelligence Studies - ISSN 1755-4977
Vol. 1, No. 2 (2009), s. 139-162Number of pages 24 s. Language eng - English Country IT - Italy Keywords Bayesian decision making ; multiple participant ; decision making Subject RIV BB - Applied Statistics, Operational Research R&D Projects GA102/08/0567 GA ČR - Czech Science Foundation (CSF) 2C06001 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10750506 - UTIA-B (2005-2011) Annotation The paper concerns a cooperation problem in multiple participant decision making (DM). A fully scalable cooperation model with individual participants being Bayesian decision makers who use fully probabilistic design of the optimal decision strategy is presented. The solution suggests a flat structure of cooperation, where each participant interacts with several ‘neighbours’. The cooperation consists in providing probabilistic distributions a participant uses for its DM. The group DM is then determined by a way of exploitation of the offered non-standard (probabilistic) fragmental information. The paper proposes a systematic procedure by formulating and solving the exploitation problem in a Bayesian way. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2010
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