A discussion of methods by which scientists may guarantee the behaviours of autonomous systems, from intelligent robots to driverless cars.
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Dr Louise Dennis is leader of the Autonomy and Verification research group at the University of Manchester and conference coordinator for the ACM Special Interest Group for Artificial Intelligence. She studied Mathematics and Philosophy at the University of Oxford and received her PhD from the University of Edinburgh in using AI techniques to prove mathematical theorems; her interest in the overlap between Mathematics, Philosophy and Artificial Intelligence has continued ever since. Her current research encompasses the programming of autonomous systems, the development of agent programming languages, reasoning about systems and programs via formal mathematical techniques, and the ethical implications of Artificial Intelligence. Beyond the university setting, Dr Dennis is active in public engagement and spends a lot of time taking Lego Robots into schools to introduce robotics programming to children.
Dr Michael Fisher is a Professor of Computer Science at the University of Manchester. He holds a Royal Academy of Engineering Chair in Emerging Technologies and is a fellow of both the British Computer Society and the Institution of Engineering and Technology. He was previously a Professor of Logic and Computation in the Department of Computing & Mathematics at the Manchester Metropolitan University and a Professor of Computer Science at the University of Liverpool. Dr Fisher's research concerns autonomous systems, particularly software engineering, formal verification, safety, responsibility, and trustworthiness. He has been involved in over 200 journal and conference papers and authored the book An Introduction to Practical Formal Methods using Temporal Logic (Wiley) in 2011.
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Hardcover. Zustand: new. Hardcover. How can we provide guarantees of behaviours for autonomous systems such as driverless cars? This tutorial text, for professionals, researchers and graduate students, explains how autonomous systems, from intelligent robots to driverless cars, can be programmed in ways that make them amenable to formal verification. The authors review specific definitions, applications and the unique future potential of autonomous systems, along with their impact on safer decisions and ethical behaviour. Topics discussed include the use of rational cognitive agent programming from the Beliefs-Desires-Intentions paradigm to control autonomous systems and the role model-checking in verifying the properties of this decision-making component. Several case studies concerning both the verification of autonomous systems and extensions to the framework beyond the model-checking of agent decision-makers are included, along with complete tutorials for the use of the freely-available verifiable cognitive agent toolkit Gwendolen, written in Java. This book is aimed at professionals, researchers and postgraduate students interested in techniques for assuring the behaviour of autonomous systems and how these systems may be programmed so that such assurance can be given. Several case studies are included, along with tutorials for the technologies used in those case studies. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781108484992
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