TY - GEN
T1 - Exploring indirect reciprocity in complex networks using coalitions and rewiring
AU - Peleteiro, Ana
AU - Burguillo, Juan C.
AU - Chong, Siang Yew
N1 - Publisher Copyright:
Copyright © 2014, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Coalitions
KW - Donation game
KW - Indirect reciprocity
KW - Rewiring
UR - https://www.scopus.com/pages/publications/84911392612
M3 - Conference contribution
AN - SCOPUS:84911392612
T3 - 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
SP - 669
EP - 676
BT - 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
T2 - 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014
Y2 - 5 May 2014 through 9 May 2014
ER -