Compromise as a way to promote convention emergence and to reduce social unfairness in multi-agent systems

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Abstract

Recently, the study of social conventions has attracted much attention. We notice that different agents may tend to establish different conventions, even though they share common interests in convention emergence. We model such scenarios to be competitive-coordination games. We hypothesize that agents may fail to establish a convention under these scenarios and introducing the option of compromise may help solve this problem. Experimental study confirms this hypothesis. In particular, it is shown that besides convention emergence is promoted, the undesirable social unfairness is also significantly reduced. In addition, we discuss how the reward of coordination via compromise affects convention emergence, social efficiency and unfairness.

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APA

Hu, S., & Leung, H. F. (2018). Compromise as a way to promote convention emergence and to reduce social unfairness in multi-agent systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11320 LNAI, pp. 3–15). Springer Verlag. https://doi.org/10.1007/978-3-030-03991-2_1

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