Autonomous Agents and Multiagent Systems - AAMAS 2017 Workshops, Best Papers, São Paulo, Brazil, May 8-12, 2017, Revised Selected Papers

This book features a selection of best papers from 13 workshops held at the International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017, held in Sao Paulo, Brazil, in May 2017. The 17 full papers presented in this volume were carefully reviewed and selected for inclusion in this volume. They cover specific topics, both theoretical and applied, in the general area of autonomous agents and multiagent systems.Peer reviewe

Eliminating opportunism using an epistemic mechanism

Opportunism is a behavior that takes advantage of knowledge asymmetry and results in promoting agents' own value and demoting other agents' value. It is important to eliminate such a selfish behavior in multi-agent systems, as it has undesirable results for the participating agents. However, as the context we study here is multi-agent systems, system designers actually might not be aware of the value system for each agent thus they have no idea whether an agent will perform opportunistic behavior. Given this fact, this paper designs an epistemic mechanism to eliminate opportunism given a set of possible value systems for the participating agents: An agent's knowledge gets updated so that the other agent is not able to perform opportunistic behavior, and there exists a balance between eliminating opportunism and respecting agents' privacy