Development of Multi-Agent System Infrastructures
A Practical Approach
- 1st Edition - October 1, 2026
- Latest edition
- Author: Andrei Olaru
- Language: English
Development of Multi-Agent Systems Infrastructure: A Practical Approach explores the creation of modular frameworks to support the deployment of real-world software applic… Read more
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Description
Description
Key features
Key features
- Presents models and languages for multi-agent systems (MAS) development
- Includes three key sections covering: modeling and languages for multi-agent systems; entity deployment and interaction; and practical considerations for implementing contemporary MAS frameworks
- Provides a hands-on method for developing working MAS solutions across a variety of applications
- Showcases solutions in a structured, modular format so they can be replicated and used independently from one another
Readership
Readership
Table of contents
Table of contents
1. Purpose of this book
2. Foundational concepts
3. Applications, challenges and requirements
4. A comparative study of current MAS frameworks
5. The FLASH-MAS framework
Part 2: Modeling agents and infrastructures
6. Entities in a multi-agent system
7. Integration of agent-oriented programming languages
8. The Entity-operation model
Part 3: Interaction between entities
9. Mobility of entities
10. Decentralized communication protocols
11. Leveraging the advantages of web standards
12. Region-based decentralized communication
13. Entity systems deployed over heterogeneous environments
Part 4: Deploying modern MAS-based applications
14. Complex deployment scenarios
15. Agent-based simulation
16. Monitoring and controlling a distributed system
17. Integrating machine learning into software agents
18. Distributed machine learning in agent communities
Product details
Product details
- Edition: 1
- Latest edition
- Published: October 1, 2026
- Language: English
About the author
About the author
AO
Andrei Olaru
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.