Development of Multi-Agent System Infrastructures

A Practical Approach

Paperback Engels 2026 9780443404955
€ 201,39
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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.

Specificaties

ISBN13:9780443404955
Taal:Engels
Bindwijze:Paperback

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Inhoudsopgave

Part 1: Introduction<br>1. Purpose of this book<br>2. Foundational concepts<br>3. Applications, challenges and requirements<br>4. A comparative study of current MAS frameworks<br>5. The FLASH-MAS framework<br><br>Part 2: Modeling agents and infrastructures<br>6. Entities in a multi-agent system<br>7. Integration of agent-oriented programming languages<br>8. The Entity-operation model<br><br>Part 3: Interaction between entities<br>9. Mobility of entities<br>10. Decentralized communication protocols<br>11. Leveraging the advantages of web standards<br>12. Region-based decentralized communication<br>13. Entity systems deployed over heterogeneous environments<br><br>Part 4: Deploying modern MAS-based applications<br>14. Complex deployment scenarios<br>15. Agent-based simulation<br>16. Monitoring and controlling a distributed system<br>17. Integrating machine learning into software agents<br>18. Distributed machine learning in agent communities

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€ 201,39
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        Development of Multi-Agent System Infrastructures