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<dc:title xml:lang="pl"><![CDATA[Computing a mechanism for a Bayesian and partially observable Markov approach]]></dc:title>
<dc:creator><![CDATA[Clempner, Julio B.]]></dc:creator>
<dc:creator><![CDATA[Poznyak, Alexander S.]]></dc:creator>
<dc:subject xml:lang="pl"><![CDATA[dynamic mechanism design]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[partially observable Markov chains]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[games with private information]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[Bayesian equilibrium]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[regularization]]></dc:subject>
<dc:description xml:lang="pl"><![CDATA[The design of incentive-compatible mechanisms for a certain class of finite Bayesian partially observable Markov games is proposed using a dynamic framework. We set forth a formal method that maintains the incomplete knowledge of both the Bayesian model and the Markov system`s states. We suggest a methodology that uses Tikhonov`s regularization technique to compute a Bayesian Nash equilibrium and the accompanying game mechanism.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[Our framework centers on a penalty function approach, which guarantees strong convexity of the regularized reward function and the existence of a singular solution involving equality and inequality constraints in the game. We demonstrate that the approach leads to a resolution with the smallest weighted norm. The resulting individually rational and ex post periodic incentive compatible system satisfies this requirement. We arrive at the analytical equations needed to compute the game`s mechanism and equilibrium. Finally, using a supply chain network for a profit maximization problem, we demonstrate the viability of the proposed mechanism design.]]></dc:description>
<dc:publisher><![CDATA[Zielona Góra: Uniwersytet Zielonogórski]]></dc:publisher>
<dc:contributor><![CDATA[Foryś, Urszula - ed.]]></dc:contributor>
<dc:contributor><![CDATA[Rejniak, Katarzyna - ed.]]></dc:contributor>
<dc:contributor><![CDATA[Pękala, Barbara - ed.]]></dc:contributor>
<dc:contributor><![CDATA[Bartłomiejczyk, Agnieszka - ed.]]></dc:contributor>
<dc:date><![CDATA[2023]]></dc:date>
<dc:type xml:lang="pl"><![CDATA[artykuł]]></dc:type>
<dc:identifier><![CDATA[http://www.zbc.uz.zgora.pl/repozytorium/Content/86682/AMCS_2023_33_3_10.pdf]]></dc:identifier>
<dc:identifier><![CDATA[https://zbc.uz.zgora.pl/repozytorium/dlibra/publication/101613/edition/86682/content]]></dc:identifier>
<dc:identifier><![CDATA[oai:zbc.uz.zgora.pl:86682]]></dc:identifier>
<dc:source xml:lang="pl"><![CDATA[AMCS, volume 33, number 3 (2023)]]></dc:source>
<dc:source xml:lang="pl"><![CDATA[https://www.amcs.uz.zgora.pl/?action=papers&issue=129]]></dc:source>
<dc:language><![CDATA[eng]]></dc:language>
<dc:relation><![CDATA[oai:zbc.uz.zgora.pl:publication:101613]]></dc:relation>
<dc:rights xml:lang="pl"><![CDATA[Biblioteka Uniwersytetu Zielonogórskiego]]></dc:rights>
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