Distance hedonic games

Autor: Bojana Kodric, Martin Olsen, Michele Flammini, Giovanna Varricchio
Předmět:
Zdroj: Scopus-Elsevier
Aarhus University
Flammini, M, Kodric, B, Olsen, M & Varricchio, G 2021, Distance Hedonic Games . in SOFSEM 2021 : Theory and Practice of Computer Science . Springer, Lecture Notes in Computer Science (LNCS), vol. 12607, pp. 159-174, International Conference on Current Trends in Theory and Practice of Computer Science, SOFSEM 2021, Bolzano-Bozen, Italy, 25/01/2021 . https://doi.org/10.1007/978-3-030-67731-2_12
SOFSEM 2021: Theory and Practice of Computer Science ISBN: 9783030677305
SOFSEM
Flammini, M, Kodric, B, Olsen, M & Varricchio, G 2020, Distance Hedonic Games . in AAMAS 2020, May 9–13, Auckland, New Zealand . IFAAMAS, AAMAS 2020, Auckland, New Zealand, 09/05/2020 . < http://ifaamas.org/Proceedings/aamas2020/ >
DOI: 10.1007/978-3-030-67731-2_12
Popis: In this paper we consider Distance Hedonic Games, a class of non-transferable utility coalition formation games that properly generalizes previously existing models, like Social Distance Games and Fractional Hedonic Games. In particular, in Distance Hedonic Games we assume the existence of a scoring vector α, in which the i-th coefficient αi expresses the extent to which x contributes to the utility of y if they are at distance i. We focus on Nash stable outcomes and consider two natural scenarios for the scoring vector: monotonically decreasing and monotonically increasing coefficients. In both cases we give NP-hardness and inapproximability results for the problems of finding a social optimum and a best Nash stable outcome. Moreover, we characterize the topologies of coalitions with high social welfare and give bounds on the Price of Anarchy and on the Price of Stability.
Databáze: OpenAIRE