0501248 20240103221538.120190208235959.9 85063428644 10.1007/978-3-030-14174-5_9 13 s. P cav_un_epca*0501421978-3-030-14173-8ChamSpringer2019SlavkovikMarija Decision making Emotions in economic game Markov decision process Ultimatum Game cav_un_auth*0202365 40 Homolová Jitka UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0372048 20 Černecka Anastasija UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101092 20 Guy Tatiana Valentine 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*0101124 20 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. http://library.utia.cas.cz/separaty/2019/AS/homolova-0501248.pdf cav_un_auth*0372050 LTC18075 GA MŠk CZ cav_un_auth*0331019 GA16-09848S GA ČR cav_un_auth*0389414 CA 16228 COST (European Cooperation in Science and Technology) XE The paper focuses on prescriptive affective decision making in Ultimatum Game (UG). It describes preliminary results on incorporating emotional aspects into normative decision making. One of the players (responder) is modelled via Markov decision process. The responder’s reward function is the weighted combination of two components: economic and emotional. The first component represents pure monetary profit while the second one reflects overall emotional state of the responder. The proposed model is tested on simulated data. cav_un_auth*0372034 Eumas 2018 20181206 20181207 Bergen NO BB 10000 10100 10103 2020 4 PR RVO:67985556 http://hdl.handle.net/11104/0293459 1 S 20 2019 85063428644 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