Exploring indirect reciprocity in complex networks using coalitions and rewiring

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

35 Citations (Scopus)

Abstract

It is generally known that cooperation can be achieved in complex real-world interactions that are not limited to direct interactions only. In particular, cooperation can consider prior interactions with other players, i.e., indirect reciprocity. Moreover, coalition based mechanisms have shown to facilitate cooperation among self-interested agents. Also, research on games over dynamic topologies has found empirical evidence showing that partner switching leads to cooperative behavior. In this paper we present a new mechanism to improve cooperation among self-interested agents placed in a complex network. Our mechanism is based on three main pillars: indirect reciprocity, coalitions and rewiring. Thus agents play against each other an indirect reciprocity game where they can create coalitions to share information about agents' reputation or change their personal network (social contacts). Altogether, we explore the conditions to enhance cooperation in complex networks. Finally, in our experiments we determine how, by using our mechanism, cooperation is improved in our reputation-based game, and how topology highly influences cooperation in our scenario.

Original languageEnglish
Title of host publication13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages669-676
Number of pages8
ISBN (Electronic)9781634391313
Publication statusPublished - 2014
Externally publishedYes
Event13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014 - Paris, France
Duration: 5 May 20149 May 2014

Publication series

Name13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
Volume1

Conference

Conference13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
Country/TerritoryFrance
CityParis
Period5/05/149/05/14

Free Keywords

  • Coalitions
  • Donation game
  • Indirect reciprocity
  • Rewiring

ASJC Scopus subject areas

  • Artificial Intelligence

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