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Overlapping coalition formation via probabilistic topic modeling

Mamakos Michail, Chalkiadakis Georgios

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/5D424E06-FF5A-4384-B4DF-969BF8EA1952-
Αναγνωριστικόhttps://dl.acm.org/citation.cfm?id=3238054-
Γλώσσαen-
Μέγεθος3 pagesen
ΤίτλοςOverlapping coalition formation via probabilistic topic modelingen
ΔημιουργόςMamakos Michailen
ΔημιουργόςΜαμακος Μιχαηλel
ΔημιουργόςChalkiadakis Georgiosen
ΔημιουργόςΧαλκιαδακης Γεωργιοςel
ΕκδότηςInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)en
ΠερίληψηResearch in cooperative games often assumes that agents know the coalitional values with certainty, and that they can belong to one coalition only. By contrast, this work assumes that the value of a coalition is based on an underlying collaboration structure emerging due to existing but unknown relations among the agents; and that agents can form overlapping coalitions. Specifically, we first propose Relational Rules, a novel representation scheme for cooperative games with overlapping coalitions, which encodes the aforementioned relations, and which extends the well-known MC-nets representation to this setting. We then present a novel decisionmaking method for decentralized overlapping coalition formation, which exploits probabilistic topic modeling-and, in particular, online Latent Dirichlet Allocation. By interpreting formed coalitions as documents, agents can effectively learn topics that correspond to profitable collaboration structures.en
ΤύποςΣύντομη Δημοσίευση σε Συνέδριοel
ΤύποςConference Short Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2019-10-11-
Ημερομηνία Δημοσίευσης2018-
Θεματική ΚατηγορίαGame theoryen
Θεματική ΚατηγορίαMulti agent systemsen
Θεματική ΚατηγορίαStatisticsen
Βιβλιογραφική ΑναφοράM. Mamakos and G. Chalkiadakis, "Overlapping coalition formation via probabilistic topic modeling," in 17th International Conference on Autonomous Agents and Multiagent Systems, 2018., pp. 2010-2012.en

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