Cooperation via sharing of probabilistic information

0339283 - ÚTIA 2010 RIV IT eng J - Journal Article
Kárný, Miroslav - Guy, Tatiana Valentine - Bodini, A. - Ruggeri, F.
Cooperation via sharing of probabilistic information.
International Journal of Computational Intelligence Studies. Vol. 1, No. 2 (2009), s. 139-162. ISSN 1755-4977
R&D Projects: GA ČR GA102/08/0567; GA MŠMT 2C06001
Institutional research plan: CEZ:AV0Z10750506
Keywords : Bayesian decision making * multiple participant * decision making
Subject RIV: BB - Applied Statistics, Operational Research
http://library.utia.cas.cz/separaty/2010/AS/karny-cooperation via sharing of probabilistic information.pdf

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.
Permanent Link: http://hdl.handle.net/11104/0182856