"Multi-agent Systems" ed. by Jorge Rocha

Multi-agent system (MAS) is an expanding field in science and engineering. It merges classical fields like game theory with modern ones like machine learning and computer science. This book provides a succinct introduction to the subject, covering the theoretical fundamentals as well as the latter developments in a coherent and clear manner. The book is centred on practical applications rather than introductory topics.

Although it occasionally makes reference to the concepts involved, it will do so primarily to clarify real-world applications. The inner chapters cover a wide spectrum of issues related to MAS uses, which include collision avoidance, automotive applications, evacuation simulation, emergence analyses, cooperative control, context awareness, data (image) mining, resilience enhancement and the management of a single-user multi-robot.


Contents
1 Introductory Chapter: Multi-Agent Systems
2 Motion Coordination Problems with Collision Avoidance for Multi-Agent Systems
3 Multiagent Systems in Automotive Applications
4 Time Critical Mass Evacuation Simulation Combining A Multi- Agent System and High-Performance Computing
5 Robust Adaptive Cooperative Control for Formation-Tracking Problem in a Network of Non-Affine Nonlinear Agents
6 Management of a Single-User Multi-Robot Teleoperated System for Maintenance in Offshore Plants
7 Multiagent System for Image Mining
8 A Toolbox to Analyze Emergence in Multiagent Simulations
9 Hybrid Architecture to Support Context‐Aware Systems
10 Resilience Enhancement in Cyber-Physical Systems: A Multiagent-Based Framework