Contents I. Introduction
In recent years multiagent decision-making is an increasingly important topic of research as real-world systems continue to become more distributed and heterogeneous. Many of these systems can be modeled as a group of agents collectively addressing the problem of maximizing a global objective function by each making local decisions. While there is generally an inherent trade-off between decentralization and the quality of the set of decisions, the goal in designing such systems is to create a set of local decision rules that nonetheless approximate centrally-controlled behavior.
