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.

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• Part 1: Introduction1. Purpose of this book2. Foundational concepts3. Applications, challenges and requirements4. A comparative study of current MAS frameworks5. The FLASH-MAS frameworkPart 2: Modeling agents and infrastructures6. Entities in a multi-agent system7. Integration of agent-oriented programming languages8. The Entity-operation modelPart 3: Interaction between entities9. Mobility of entities10. Decentralized communication protocols11. Leveraging the advantages of web standards12. Region-based decentralized communication13. Entity systems deployed over heterogeneous environmentsPart 4: Deploying modern MAS-based applications14. Complex deployment scenarios15. Agent-based simulation16. Monitoring and controlling a distributed system17. Integrating machine learning into software agents18. Distributed machine learning in agent communities