Abstract
In this chapter, we first review some concepts and terminologies from game theory and multiagent systems areas that will be used throughout the book in Sect. 2.1. After that, we explore previous work in multiagent learning literature by dividing them into two major categories: cooperative multiagent systems and competitive multiagent systems, distinguished by the underlying intentional stance of the agents within the system. Within each category, we review previous work in three different parts distinguished by the different goal that the work targets at. In Sect. 2.2, we focus on reviewing previous work whose goal falls into one of the following major solution concepts: Nash equilibrium, fairness, or social optimality. In Sect. 2.3, we focus on investigating previous work targeting at either of the following major solution concepts: Nash equilibrium, maximizing individual benefits, and Pareto-optimality.
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