Institute of Information Theory and Automation

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Journal Article

Cooperation via sharing of probabilistic information

Kárný Miroslav, Guy Tatiana Valentine, Bodini A., Ruggeri F.

: International Journal of Computational Intelligence Studies, p. 139-162

: CEZ:AV0Z10750506

: GA102/08/0567, GA ČR, 2C06001, GA MŠk

: Bayesian decision making, multiple participant, decision making

: http://library.utia.cas.cz/separaty/2010/AS/karny-cooperation via sharing of probabilistic information.pdf

(eng): 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.

: BB

2019-01-07 08:39