Thisbook mainly aims at solving the problems in both cooperative and competitivemulti-agent systems (MASs), exploring aspects such as how agents caneffectively learn to achieve the shared optimal solution based on their localinformation and how they can learn to increase their individual utility byexploiting the weakness of their opponents.

This compendium covers several important topics related to multiagent systems, from learning and game theoretic analysis, to automated negotiation and human-agent interaction. Each chapter is written by experienced researchers working on a specific topic