Multi-Agent Systems

From Basic Concepts to Cutting-Edge Technologies

Puteri Nor Aznie Fahsyar, Denesh Sooriamoorthy, Zool Hilmi Ismail, Nohaidda Sariff

• Publisher: IntechOpen
• Year: 2026
• Print ISBN:
  9781836351481
• eBook ISBN:
  9781836351474
• Topic: Computer Science
• Index: Computer Science

Multi-Agent Systems - From Basic Concepts to Cutting-Edge Technologies presents a rigorous and integrated perspective on the theory, design, and deployment of intelligent agent-based systems in complex and distributed environments. The book examines core concepts of multi-agent systems, including autonomy, cooperation, coordination, negotiation, and decentralized decision-making, while highlighting recent advances in agent architectures, learning-enabled agents, and agent-based control frameworks. Emphasis is placed on the application of artificial intelligence, deep reinforcement learning, distributed optimization, and IoT-integrated agent systems to address real-world challenges in robotics, smart energy management, microgrid protection, and resilient urban infrastructure. By focusing on scalability, robustness, fault tolerance, and adaptability, the book demonstrates the technical advantages of multi-agent approaches over centralized solutions in dynamic, uncertain, and large-scale systems. This volume serves as a technical reference for researchers, postgraduate students, and professionals seeking a systematic understanding of state-of-the-art methodologies, implementation considerations, and emerging research directions in intelligent distributed systems. Through its balanced coverage of foundational principles and advanced technological developments, the book supports interdisciplinary research and provides a strong knowledge base for the development of next-generation autonomous and agent-oriented systems.

Table of contents

• Multi-Agent Systems - From Basic Concepts to Cutting-Edge Technologies
• Contents
• Preface
• Chapter1 Deep Reinforcement Learning for Robot Navigation: Concepts, CurrentTrends, Challenges, and Future Directions
• Chapter2 Toward Agentic Artificial Intelligence and Its Societal Implications
• Chapter3 Decentralized Energy Management Using Multi-Agent Systems for Remote Hybrid Power Systems
• Chapter4 Cutting-EdgeTechnologies in Agent Architecture for Use at the Microgrid Protection Level
• Chapter5 A Multi-Agent Infrastructure Monitoring IoT System for Urban Geo-Resilience Framework