0562376 20240103230926.720221014235959.9 85139393431 000866441700001 10.1109/ACCESS.2022.3210506 14 s. E cav_un_epca*04610362169-3536101 (2022)105008-105021Institute of Electrical and Electronics Engineers Learning systems Bayes methods Markov processes Biological system modeling Uncertainty Nash equilibrium Resource management cav_un_auth*0437960 Guy T. V. CZ 50 cav_un_auth*0202365 Homolová Jitka UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS CZ 40 Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0437961 Gaj A. CZ 10 http://library.utia.cas.cz/separaty/2022/AS/homolova-0562376.pdf https://ieeexplore.ieee.org/document/9905577 LTC18075 GA MŠk CZ cav_un_auth*0372050 The paper addresses a problem of sequential bilateral bargaining with incomplete information. We proposed a decision model that helps agents to successfully bargain by performing indirect negotiation and learning the opponent’s model. Methodologically the paper casts heuristically-motivated bargaining of a self-interested independent player into a framework of Bayesian learning and Markov decision processes. The special form of the reward implicitly motivates the players to negotiate indirectly, via closed-loop interaction. We illustrate the approach by applying our model to the Nash demand game, which is an abstract model of bargaining. The results indicate that the established negotiation: i) leads to coordinating players’ actions. ii) results in maximising success rate of the game and iii) brings more individual profit to the players. WOS BC 20000 20200 20205 2023 3 RVO:67985556 https://hdl.handle.net/11104/0334712 cav_un_auth*0299698 Česká zemědělská univerzita Praha ČZU CZ cav_un_auth*0329918 FJFI ČVUT Praha CZ S 3+4 Article Computer Science Information Systems|Engineering Electrical Electronic|Telecommunications A COMPUTERSCIENCE.INFORMATIONSYSTEMS|ENGINEERING.ELECTRICAL&ELECTRONIC|TELECOMMUNICATIONS 4.1 0.7 2.9 0.32756 0.685 239575 0.926 3.600 9547 Q2 57.3 Q3 Q2 0.89 Q2 63.8 2022 85139393431 SCOPUS PUBMED 000866441700001 WOS cav_un_epca*0461036 IEEE Access 2169-3536 2169-3536 Roč. 10 č. 1 2022 105008 105021 Institute of Electrical and Electronics Engineers