Distributed AI in the Modern World: Technical and Social Aspects of Interacting Intelligent Agents presents state-of-the-art insights into the various forms of distribution of artificial intelligence, with practical application instances. Sections provide readers with practical solutions at an architectural level, with solutions presented on the distribution of the learning process and the utilization of machine learning models in a distributed system, tools that enable the distribution and interaction of artificial learning entities, how multi-agent systems and machine learning can be combined, the physical embodiment of intelligent agents, and the interaction of intelligent computing units bound to physical space.
Following sections emphasize the challenges that are common to all scenarios and solutions that apply in a wider range of cases. This book does not analyze the internal workings of machine learning models (for instance, in the case of multi-agent reinforcement learning), but instead provides readers with an overview of the challenges brought by the need of artificially intelligent entities to interact with other entities and with their environments, along with practical solutions at an architectural level.
1. Introduction - p. 1 2. Chapter 1: Federated learning for ICD classification with lightweight models and pretrained embeddings - p. 3 3. Chapter 2: Engineering multi-agent systems for the Web of Things - p. 21 4. Chapter 3: Addressing AI trustworthiness in the architectural design of web systems - p. 41 5. Chapter 4: Modeling Theory of Mind - p. 51 6. Part II: Infrastructures for distributed AI - p. P2 7. Introduction - p. 69 8. Chapter 5: Context management in hypermedia multi-agent systems - p. 71 9. Chapter 6: Multi-Agent MicroServices (MAMS) - p. 95 10. Chapter 7: Declarative protocols for engineering MAS - p. 115 11. Chapter 8: Integrating prediction models with multi-agent system frameworks - p. 135 12. Part III: Agents in the real world - p. P3 13. Introduction - p. 155 14. Chapter 9: Distributed and embedded multi-agent systems - p. 157 15. Chapter 10: Distributed self-coordination for non-holonomic psychical embodied robot swarms - p. 187 16. Chapter 11: Comprehensive services for robotic platforms: enhancing human assistance and interaction - p. 209 17. Chapter 12: Tools for deployment and monitoring of distributed MAS - p. 227 18. Index - p. 243
Distributed AI in the Modern World: Technical and Social Aspects of Interacting Intelligent Agents presents state-of-the-art insights into the various forms of distribution of artificial intelligence, with practical application instances. Sections provide readers with practical solutions at an architectural level, with solutions presented on the distribution of the learning process and the utilization of machine learning models in a distributed system, tools that enable the distribution and interaction of artificial learning entities, how multi-agent systems and machine learning can be combined, the physical embodiment of intelligent agents, and the interaction of intelligent computing units bound to physical space.
Following sections emphasize the challenges that are common to all scenarios and solutions that apply in a wider range of cases. This book does not analyze the internal workings of machine learning models (for instance, in the case of multi-agent reinforcement learning), but instead provides readers with an overview of the challenges brought by the need of artificially intelligent entities to interact with other entities and with their environments, along with practical solutions at an architectural level.
1. Introduction - p. 1 2. Chapter 1: Federated learning for ICD classification with lightweight models and pretrained embeddings - p. 3 3. Chapter 2: Engineering multi-agent systems for the Web of Things - p. 21 4. Chapter 3: Addressing AI trustworthiness in the architectural design of web systems - p. 41 5. Chapter 4: Modeling Theory of Mind - p. 51 6. Part II: Infrastructures for distributed AI - p. P2 7. Introduction - p. 69 8. Chapter 5: Context management in hypermedia multi-agent systems - p. 71 9. Chapter 6: Multi-Agent MicroServices (MAMS) - p. 95 10. Chapter 7: Declarative protocols for engineering MAS - p. 115 11. Chapter 8: Integrating prediction models with multi-agent system frameworks - p. 135 12. Part III: Agents in the real world - p. P3 13. Introduction - p. 155 14. Chapter 9: Distributed and embedded multi-agent systems - p. 157 15. Chapter 10: Distributed self-coordination for non-holonomic psychical embodied robot swarms - p. 187 16. Chapter 11: Comprehensive services for robotic platforms: enhancing human assistance and interaction - p. 209 17. Chapter 12: Tools for deployment and monitoring of distributed MAS - p. 227 18. Index - p. 243
