Affective Decision-Making in Ultimatum Game: Responder Case

0501248 - ÚTIA 2020 RIV CH eng C - Conference Paper (international conference)
Homolová, Jitka - Černecka, Anastasija - Guy, Tatiana Valentine - Kárný, Miroslav
Affective Decision-Making in Ultimatum Game: Responder Case.
Multi-Agent Systems : 16th European Conference, EUMAS 2018, Revised Selected Papers. Cham: Springer, 2019 - (Slavkovik, M.), č. článku 20. Lecture Notes in Artificial Intelligence, 11450. ISBN 978-3-030-14173-8.
[Eumas 2018. Bergen (NO), 06.12.2018-07.12.2018]
R&D Projects: GA MŠMT(CZ) LTC18075; GA ČR GA16-09848S
Grant - others:COST (European Cooperation in Science and Technology)(XE) CA 16228
Institutional support: RVO:67985556
Keywords : Decision making * Emotions in economic game * Markov decision process * Ultimatum Game
OECD category: Statistics and probability
http://library.utia.cas.cz/separaty/2019/AS/homolova-0501248.pdf

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.
Permanent Link: http://hdl.handle.net/11104/0293459