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This book establishes the foundations needed to realize the ultimate goals for artificial intelligence, such as autonomy and trustworthiness.
Aimed at scientists, researchers, technologists, practitioners, and students, it brings together contributions offering the basics, the challenges and the state-of-the-art on trusted autonomous systems in a single volume. The book is structured in three parts, with chapters written by eminent researchers and outstanding practitioners and users in the field. The first part covers foundational artificial intelligence technologies, while the second part covers philosophical, practical and technological perspectives on trust. Lastly, the third part presents advanced topics necessary to create future trusted autonomous systems. The book augments theory with real-world applications including cyber security, defence and space.
List of contents
Foundations of Trusted Autonomy.- Foundations of Trusted Autonomy: An Introduction.- Goal Reasoning and Trusted Autonomy.- Social planning for Trusted Autonomy.- The Blessing and Curse of Emergence in Swarm Intelligence Systems.- Trustworthiness of Autonomous Systems.- Learning to Shape Errors with a Confusion Objective.- Future Trusted Autonomous Space Scenarios.- An Autonomy Interrogative
Summary
Presents the foundations upon which trusted autonomy might be built
Offers the first comprehensive treatment of trusted autonomy, covering the scientific foundations for engineering and evolving trusted autonomous systems
Serves as a reference resource for researchers, educators, and practitioners on trusted autonomy, as well as a foundational text for advanced students
