0501237 20240103221536.920190208235959.9 85063527967 10.1007/978-3-030-14174-5_11 16 s. P cav_un_epca*0501421978-3-030-14173-8ChamSpringer2019SlavkovikMarija Decision making Cooperation Fully probabilistic design Bayesian learning cav_un_auth*0101124 Kárný Miroslav UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0372033 Alizadeh Zohreh UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems IR Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2019/AS/karny-0501237.pdf cav_un_auth*0331019 GA16-09848S GA ČR Modern prescriptive decision theories try to support the dynamic decision making (DM) in incompletely-known, stochastic, and complex environments. Distributed solutions single out as the only universal and scalable way to cope with DM complexity and with limited DM resources. They require a solid cooperation scheme, which har- AQ1 monises disparate aims and abilities of involved agents (human decision makers, DM realising devices and their mixed groups). The paper outlines a distributed fully probabilistic DM. Its flat structuring enables a fully-scalable cooperative DM of adaptive and wise selfish agents. The paper elaborates the cooperation based on sharing and processing agents’ aims in the way, which negligibly increases agents’ deliberation effort, while preserving advantages of distributed DM. Simulation results indicate the strength of the approach and confirm the possibility of using an agent-specific feedback for controlling its cooperation. cav_un_auth*0372034 Eumas 2018 20181206 20181207 Bergen NO BB 10000 10100 10103 2020 2 PR RVO:67985556 http://hdl.handle.net/11104/0293458 1 S 11 2019 85063527967 SCOPUS PUBMED WOS cav_un_epca*0501421 Multi-Agent Systems : 16th European Conference, EUMAS 2018, Revised Selected Papers Springer 2019 Cham 978-3-030-14173-8 Lecture Notes in Artificial Intelligence 11450 340 Slavkovik Marija