Coordination, differentiation, and fairness in a population of cooperating agents

A-L Do, L Rudolf, T Gross

Research output: Contribution to journalArticle (Academic Journal)peer-review

1 Citation (Scopus)

Abstract

In a recent paper, we analyzed the self-assembly of a complex cooperation network. The network was shown to approach a state where every agent invests the same amount of resources. Nevertheless, highly-connected agents arise that extract extraordinarily high payoffs while contributing comparably little to any of their cooperations. Here, we investigate a variant of the model, in which highly-connected agents have access to additional resources. We study analytically and numerically whether these resources are invested in existing collaborations, leading to a fairer load distribution, or in establishing new collaborations, leading to an even less fair distribution of loads and payoffs.
Translated title of the contributionCoordination, differentiation, and fairness in a population of cooperating agents
Original languageEnglish
Pages (from-to)30 - 40
JournalGames
Volume3
DOIs
Publication statusPublished - 2012

Research Groups and Themes

  • Engineering Mathematics Research Group

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