Distributed AI in the Modern World : Technical and Social Aspects of Interacting Intelligent Agents (Advances in Biomedical Informatics)

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Distributed AI in the Modern World : Technical and Social Aspects of Interacting Intelligent Agents (Advances in Biomedical Informatics)

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  • 製本 Paperback:紙装版/ペーパーバック版／ページ数 250 p.
  • 言語 ENG
  • 商品コード 9780443446795

Full Description

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.

Contents

Preface

Part 1
Preamble
1.1 Federated Learning for ICD Classification with Lightweight Models and Pretrained Embeddings
1.2 Autonomy in the Web of Things
1.3 Addressing AI Trustworthiness in the Architectural Design of Web Systems
1.4 Modelling Theory of Mind: A multi-agent oriented approach

Part 2
Preamble
2.1 Context Management in Hypermedia Multi-Agent Systems
2.2 Integrating MAS with Microservices
2.3 Declarative Protocols for Engineering MAS: the Integration of BSPL and SARL
2.4 Integrating Prediction Models with Multi-Agent System Frameworks

Part 3
Preamble
3.1 Distributed and Embedded Multi-Agent Systems
3.2 Distributed Self-Coordination for Non-Holonomic Psychical Embodied Robot Swarms
3.3 Comprehensive Services for Robotic Platforms: Enhancing Human Assistance and Interaction
3.4 Tools for Deployment and Monitoring of Distributed MAS