Development of Multi-Agent Systems Infrastructures

A Practical Approach
Erscheinungsjahr 2026
ISBN: 978-0-443-40495-5
Verlag: Elsevier Science

Buch, Englisch, 200 Seiten, Format (B × H): 191 mm x 235 mm

Development of Multi-Agent Systems Infrastructure: A Practical Approach discusses modular infrastructure to underpin the deployment of real-life software applications, while implementing well-defined theoretical models. The book addresses the challenges associated with deploying multi-agent systems (MAS) and offers a practical approach to how solutions can be developed. The book is based on the author’s experience with building the FLASH-MAS framework (A Fast Lightweight Agent Shell) and other related MAS projects. Many applications are built using the paradigm of autonomous agents in very different fields, including manufacturing, robotics, health care, supply chain management, and more. Agents may be deployed individually, may be distributed over the network, or may be used in great numbers to simulate complex interactions, but there are always some invariants in the functionality of a multi-agent system. A multi-agent system contains other entities beside the agents: the environment, support infrastructures, and units continuously processing data; these have their own lifecycle and needs for interaction. Deployment, maintenance, and monitoring of multi-agent systems brings about many practical challenges, such as dealing with the interaction between entities, the construction, deployment, and eventual destruction of individual entities, the management of an open system, and the robustness of the system as a whole. Some of these challenges are common to many or all applications, hence this book comes to the assistance of multi-agent system developers by offering tools and frameworks for the development and deployment of such systems. Development of Multi-Agent Systems Infrastructure is divided into three main parts, dealing with: models and languages for multi-agent systems; the deployment and interaction between entities; and practical aspects of implementing modern MAS frameworks. FLASH-MAS is a framework built on modularity, so the book presents the solutions the author has identified in a modular manner, meaning that they can be replicated and used independently from one another.

Autoren/Hrsg.

Olaru, Andrei

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik

Inhaltsverzeichnis

1. Introduction: Applications, Challenges and Requirements
2. A comparative study of current MAS frameworks

Part 1: Modeling agents and infrastructures
3. The nested-entity model in FLASH-MAS
4. The S-CLAIM agent-oriented programming language
5. The Entity-operation model

Part 2: Interaction and Deployment
6. Decentralized communication protocols
7. Leveraging the advantages of web standards
8. Region-based decentralized communication
9. Entity systems deployed over heterogeneous environments

Part 3: Practical aspects in implementing a modern MAS framework
10. Complex deployment scenarios
11:. Monitoring and controlling a distributed system
12. Integrating machine learning

Über Autor(innen)

Olaru, Andrei
Dr. Andrei Olaru is an Associate Professor with the National University of Science and Technology POLITEHNICA Bucharest (UNSTPB), and a member of the Artificial Intelligence and Multi-agent Systems Laboratory, specialized in multi-agent systems, ambient intelligence, and context-awareness. He has received a double M.Sc. Degree from University Politehnica of Bucharest (UPB, now UNSTPB) and from University of Nantes, and a double Ph.D. Degree from UPB and University Pierre et Marie Curie (now Sorbonne University). Among other subjects, he teaches a course on Multi-Agent Systems to master students at UNSTPB. He is the coordinator of the Financial Computing Master's Degree at UNSTPB. Dr. Olaru has been the director of 2 national research grants and 1 international grant. He is a member of ACM and a member of the Romanian Association for Artificial Intelligence.