This course will highlight multiagent system technology for control and optimization of complex systems. Multi-agent systems occur in both the natural and the artificial world such as multi-cellular organisms, ecologies, insect societies, distributed computing, communication networks, evolutionary algorithms, and the internet.The topics to be treated include: natural exemplars of multi-agent systems, and methods for task-decomposition, learning, competition, and cooperation among software agents, cooperative control, distributed control and computation, adversarial interactions, uncertain evolution and complexity management.