On Decentralized Implicit Negotiation in Modified Ultimatum Game

التفاصيل البيبلوغرافية
العنوان: On Decentralized Implicit Negotiation in Modified Ultimatum Game
المؤلفون: Tatiana V. Guy, Jitka Homolová, Eliška Zugarová, Miroslav Kárný
المصدر: Multi-Agent Systems and Agreement Technologies ISBN: 9783030017125
EUMAS/AT
بيانات النشر: Springer International Publishing, 2018.
سنة النشر: 2018
مصطلحات موضوعية: Negotiation, Ultimatum game, Computer science, Human interaction, business.industry, media_common.quotation_subject, Contrast (statistics), Markov decision process, Artificial intelligence, Economic game, business, media_common
الوصف: Cooperation and negotiation are important elements of human interaction within extensive, flatly organized, mixed human-machine societies. Any sophisticated artificial intelligence cannot be complete without them. Multi-agent system with dynamic locally independent agents, that interact in a distributed way is inevitable in majority of modern applications. Here we consider a modified Ultimatum game (UG) for studying negotiation and cooperation aspects of decision making. The manuscript proposes agent’s optimizing policy using Markov decision process (MDP) framework, which covers implicit negotiation (in contrast with explicit schemes as in [5]). The proposed solution replaces the classical game-theoretical design of agents’ policies by an adaptive MDP that is: (i) more realistic with respect to the knowledge available to individual players; (ii) provides a first step towards solving negotiation essential in conflict situations.
ردمك: 978-3-030-01712-5
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::4dbaff86d35b8ad14ecf2f7b344e7d0d
https://doi.org/10.1007/978-3-030-01713-2_25
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........4dbaff86d35b8ad14ecf2f7b344e7d0d
قاعدة البيانات: OpenAIRE