Development of Multi-Agent System Infrastructures: A Practical Approach: Advances in Biomedical Informatics
Autor Andrei Olaruen Limba Engleză Paperback – oct 2026
- 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
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Specificații
ISBN-13: 9780443404955
ISBN-10: 044340495X
Pagini: 200
Dimensiuni: 191 x 235 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
Seria Advances in Biomedical Informatics
ISBN-10: 044340495X
Pagini: 200
Dimensiuni: 191 x 235 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
Seria Advances in Biomedical Informatics
Cuprins
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
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