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Foundations of Trusted Autonomy

Author: Hussein A. Abbass

Publisher: Springer

Published: 2018-01-15

Total Pages: 395

ISBN-13: 3319648160

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.

Foundations of Trusted Autonomy

Author: Hussein a Abbass

Publisher:

Published: 2020-10-08

Total Pages: 398

ISBN-13: 9781013269455

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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 cybersecurity, defence and space. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Trust in Human-Robot Interaction

Author: Chang S. Nam

Publisher: Academic Press

Published: 2020-11-17

Total Pages: 614

ISBN-13: 0128194731

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Trust in Human-Robot Interaction addresses the gamut of factors that influence trust of robotic systems. The book presents the theory, fundamentals, techniques and diverse applications of the behavioral, cognitive and neural mechanisms of trust in human-robot interaction, covering topics like individual differences, transparency, communication, physical design, privacy and ethics. Presents a repository of the open questions and challenges in trust in HRI Includes contributions from many disciplines participating in HRI research, including psychology, neuroscience, sociology, engineering and computer science Examines human information processing as a foundation for understanding HRI Details the methods and techniques used to test and quantify trust in HRI

Epistemic Authority

Author: Linda Trinkaus Zagzebski

Publisher: Oxford University Press

Published: 2015-11

Total Pages: 294

ISBN-13: 0190278269

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Gives an extended argument for epistemic authority from the implications of reflective self-consciousness. Epistemic authority is compatible with autonomy, but epistemic self-reliance is incoherent. The book argues that epistemic and emotional self-trust are rational and inescapable, that consistent self-trust commits us to trust in others, and that among those we are committed to trusting are some whom we ought to treat as epistemic authorities, modelled on the well-known principles of authority of Joseph Raz. Some of these authorities can be in the moral and religious domains. The book investigates the way the problem of disagreement between communities or between the self and others is a conflict within self-trust, and argue against communal self-reliance on the same grounds as the book uses in arguing against individual self-reliance. The book explains how any change in belief is justified--by the conscientious judgment that the change will survive future conscientious self-reflection. The book concludes with an account of autonomy. -- Información de la editorial.

Autonomy and Trust in Bioethics

Author: Onora O'Neill

Publisher: Cambridge University Press

Published: 2002-04-18

Total Pages: 232

ISBN-13: 9780521894531

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Argues against the conceptions of individual autonomy which are widely relied on in bioethics.

Universal Artificial Intelligence

Author: Marcus Hutter

Publisher: Springer Science & Business Media

Published: 2005-12-29

Total Pages: 294

ISBN-13: 3540268774

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Personal motivation. The dream of creating artificial devices that reach or outperform human inteUigence is an old one. It is also one of the dreams of my youth, which have never left me. What makes this challenge so interesting? A solution would have enormous implications on our society, and there are reasons to believe that the AI problem can be solved in my expected lifetime. So, it's worth sticking to it for a lifetime, even if it takes 30 years or so to reap the benefits. The AI problem. The science of artificial intelligence (AI) may be defined as the construction of intelligent systems and their analysis. A natural definition of a system is anything that has an input and an output stream. Intelligence is more complicated. It can have many faces like creativity, solving prob lems, pattern recognition, classification, learning, induction, deduction, build ing analogies, optimization, surviving in an environment, language processing, and knowledge. A formal definition incorporating every aspect of intelligence, however, seems difficult. Most, if not all known facets of intelligence can be formulated as goal driven or, more precisely, as maximizing some utility func tion. It is, therefore, sufficient to study goal-driven AI; e. g. the (biological) goal of animals and humans is to survive and spread. The goal of AI systems should be to be useful to humans.

Autonomous Horizons

Author: Greg Zacharias

Publisher: Independently Published

Published: 2019-04-05

Total Pages: 420

ISBN-13: 9781092834346

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Dr. Greg Zacharias, former Chief Scientist of the United States Air Force (2015-18), explores next steps in autonomous systems (AS) development, fielding, and training. Rapid advances in AS development and artificial intelligence (AI) research will change how we think about machines, whether they are individual vehicle platforms or networked enterprises. The payoff will be considerable, affording the US military significant protection for aviators, greater effectiveness in employment, and unlimited opportunities for novel and disruptive concepts of operations. Autonomous Horizons: The Way Forward identifies issues and makes recommendations for the Air Force to take full advantage of this transformational technology.

Mathematics Of Autonomy: Mathematical Methods For Cyber-physical-cognitive Systems

Author: Pilling Michael J

Publisher: World Scientific

Published: 2017-10-30

Total Pages: 432

ISBN-13: 9813230401

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Mathematics of Autonomy provides solid mathematical foundations for building useful Autonomous Systems. It clarifies what makes a system autonomous rather than simply automated, and reveals the inherent limitations of systems currently incorrectly labeled as autonomous in reference to the specific and strong uncertainty that characterizes the environments they operate in. Such complex real-world environments demand truly autonomous solutions to provide the flexibility and robustness needed to operate well within them. This volume embraces hybrid solutions to demonstrate extending the classes of uncertainty autonomous systems can handle. In particular, it combines physical-autonomy (robots), cyber-autonomy (agents) and cognitive-autonomy (cyber and embodied cognition) to produce a rigorous subset of trusted autonomy: Cyber-Physical-Cognitive autonomy (CPC-autonomy). The body of the book alternates between underlying theory and applications of CPC-autonomy including "Autonomous Supervision of a Swarm of Robots," "Using Wind Turbulence against a Swarm of UAVs" and "Unique Super-Dynamics for All Kinds of Robots (UAVs, UGVs, UUVs and USVs)" to illustrate how to effectively construct Autonomous Systems using this model. It avoids the wishful thinking that characterizes much discussion related to autonomy, discussing the hard limits and challenges of real autonomous systems. In so doing, it clarifies where more work is needed, and also provides a rigorous set of tools to tackle some of the problem space. Contents: Introduction Physics of the CPC-Autonomy: Port-Hamiltonian Dynamics and Control of Multi-Physical Networks CPC-Application: Autonomous Brain-Like Supervisor for a Swarm of Robots Micro-Cognitive CPC-Autonomy: Quantum Computational Tensor Networks Cyber-Cognitive CPC-Autonomy: TensorFlow and Deep Neural Tensor Networks Cognitive Control in CPC-Autonomy: Perceptual Control Theory and Its Alternatives CPC-Application: Using Wind Turbulence against a Team of UAVs Cognitive Estimation in CPC-Autonomy: Recursive Bayesian Filters and FastSLAM Algorithms CPC Super-Dynamics for a Universal Large-Scale Autonomous Operation Appendix 1: The World of Tensors Appendix 2: Classical Neural Networks and AI Readership: Undergraduates, graduates and researchers in computer science, pure and applied mathematics, engineering, and physics. Keywords: Autonomous Systems;Trusted Autonomy;Cyber-Physical Systems;Cognitive Systems;Port-Hamiltonian Dynamics and Control;Swarm of Robots;Brain-Like Supervisor;Deep Learning;Perceptual Control Theory;Wind Turbulence;Bayesian Estimation;FastSLAM Algorithms;Super-Dynamics;Tensors;Neural Networks;AIReview: Key Features: A critical examination of the unique challenges of Trusted Autonomous Systems Demonstrates the combination of many diverse approaches including Fuzzy Logic, Port-Hamiltonian Control Structures, Entangled-Quantum Computations, Deep Learning and Recursive Bayesian Filters and FastSLAM Algorithms Rigorous Mathematical Foundations including background tutorials Includes several solved examples

Autonomy and Unmanned Vehicles

Author: Somaiyeh MahmoudZadeh

Publisher: Springer

Published: 2018-08-06

Total Pages: 107

ISBN-13: 9811322457

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This book addresses higher–lower level decision autonomy for autonomous vehicles, and discusses the addition of a novel architecture to cover both levels. The proposed framework’s performance and stability are subsequently investigated by employing different meta-heuristic algorithms. The performance of the proposed architecture is shown to be largely independent of the algorithms employed; the use of diverse algorithms (subjected to the real-time performance of the algorithm) does not negatively affect the system’s real-time performance. By analyzing the simulation results, the book demonstrates that the proposed model provides perfect mission timing and task management, while also guaranteeing secure deployment. Although mainly intended as a research work, the book’s review chapters and the new approaches developed here are also suitable for use in courses for advanced undergraduate or graduate students.

Autonomous Vehicles, Volume 1

Author: Romil Rawat

Publisher: John Wiley & Sons

Published: 2022-11-30

Total Pages: 324

ISBN-13: 1119871964

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AUTONOMOUS VEHICLES Addressing the current challenges, approaches and applications relating to autonomous vehicles, this groundbreaking new volume presents the research and techniques in this growing area, using Internet of Things (IoT), Machine Learning (ML), Deep Learning, and Artificial Intelligence (AI). This book provides and addresses the current challenges, approaches, and applications relating to autonomous vehicles, using Internet of Things (IoT), machine learning, deep learning, and Artificial Intelligence (AI) techniques. Several self-driving or autonomous (“driverless”) cars, trucks, and drones incorporate a variety of IoT devices and sensing technologies such as sensors, gyroscopes, cloud computing, and fog layer, allowing the vehicles to sense, process, and maintain massive amounts of data on traffic, routes, suitable times to travel, potholes, sharp turns, and robots for pipe inspection in the construction and mining industries. Few books are available on the practical applications of unmanned aerial vehicles (UAVs) and autonomous vehicles from a multidisciplinary approach. Further, the available books only cover a few applications and designs in a very limited scope. This new, groundbreaking volume covers real-life applications, business modeling, issues, and solutions that the engineer or industry professional faces every day that can be transformed using intelligent systems design of autonomous systems. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library.