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Deliberation-aware Responder in Multi-Proposer Ultimatum Game
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SYSNO ASEP 0462891 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Deliberation-aware Responder in Multi-Proposer Ultimatum Game Author(s) Ruman, Marko (UTIA-B)
Hůla, František (UTIA-B)
Kárný, Miroslav (UTIA-B) RID, ORCID
Guy, Tatiana Valentine (UTIA-B) RID, ORCIDNumber of authors 4 Source Title Artificial Neural Networks and Machine Learning – ICANN 2016, Part I.. - Cham : Springer, 2016 - ISSN 0302-9743 - ISBN 978-3-319-44777-3 Pages s. 230-237 Number of pages 8 s. Publication form Print - P Action International Conference on Artificial Neural Networks 2016 /25./ Event date 06.09.2016 - 09.09.2016 VEvent location Barcelona Country ES - Spain Event type WRD Language eng - English Country CH - Switzerland Keywords deliberation effort ; Markov decision process ; ultimatum game Subject RIV BB - Applied Statistics, Operational Research R&D Projects GA16-09848S GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) Institutional support UTIA-B - RVO:67985556 UT WOS 000389086300027 EID SCOPUS 84987935072 DOI 10.1007/978-3-319-44778-0_27 Annotation The article studies deliberation aspects by modelling a responder in multi-proposers ultimatum game (UG). Compared to the classical UG, deliberative multi-proposers UG suggests that at each round the responder selects the proposer to play with. Any change of the proposer (compared to the previous round) is penalised. The simulation results show that though switching of proposers incurred non-negligible deliberation costs, the economic profit of the deliberation-aware responder was significantly higher in multi-proposer UG compared to the classical UG. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2017
Number of the records: 1