Development of Multi-Agent Systems 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
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
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