Development of Multi-Agent System Infrastructures
A Practical Approach
Series: Advances in Biomedical Informatics;
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Product details:
- Publisher Elsevier Science
- Date of Publication 1 October 2026
- ISBN 9780443404955
- Binding Paperback
- No. of pages200 pages
- Size 235x191 mm
- Weight 450 g
- Language English 700
Categories
Long description:
Development of Multi-Agent Systems Infrastructure: A Practical Approach explores the creation of modular frameworks to support the deployment of real-world software applications utilizing multi-agent systems (MAS). Drawing from the author’s hands-on experience with the FLASH-MAS framework-a Fast Lightweight Agent Shell-the book delves into both theoretical models and practical solutions for MAS implementation. It addresses the complexities of deploying autonomous agents across diverse fields such as manufacturing, robotics, health care, and supply chain management, highlighting the shared challenges developers face when managing distributed, networked, or large-scale agent interactions. The book is organized into three main sections, covering models and languages for MAS, the deployment and interaction between system entities, and practical guidance for implementing robust MAS frameworks. Emphasizing modularity, the author presents adaptable tools and solutions that can be independently utilized for system development and maintenance. Practical issues such as entity lifecycle management, environmental interactions, and system robustness are thoroughly examined, making this resource valuable for both new and experienced MAS developers.
MoreTable of Contents:
Part 1: Introduction
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
