William F. Lawless

Computational Context

The Value, Theory and Application of Context with AI

Ebook (EPUB Format)

This volume addresses context from three comprehensive perspectives: first, its importance, the issues surrounding context, and its value in the laboratory and the field; second, the theory guiding the AI used to model its context; and third, its applications in the field (e.g., decision-making). This breadth poses a challenge. The book analyzes how the environment (context) influences human perception, cognition and action. While current books approach context narrowly, the major contribution of this book is to provide an in-depth review over a broad range of topics for a computational context no matter its breadth. The volume outlines numer… Mehr

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V210: Noch nicht erschienen, Januar 2021

Produktdetails

Weitere Autoren: Mittu, Ranjeev / Sofge, Donald

ISBN: 978-0-429-84184-2
EAN: 9780429841842
Produktnummer: 29552965
Verlag: Taylor & Francis Ltd.
Sprache: Englisch
Erscheinungsjahr: 2018
Seitenangabe: 328 S.
Plattform: EPUB
Abbildungen: 31 schwarz-weiße und 35 farbige Abbildungen, 30 schwarz-weiße Tabellen

Über den Autor

William Lawless, as an engineer, in 1983, Lawless blew the whistle on Department of Energy's mismanagement of radioactive wastes. For his PhD, he studied the causes of mistakes by organizations with world-class scientists and engineers. Afterwards, DOE invited him onto its citizen advisory board at its Savannah River Site where he co-authored numerous recommendations on the site's clean-up. In his research on mathematical metrics for teams, he has published two co-edited books on AI, and over 200 articles, book chapters and peer-reviewed proceedings. He has co-organized eight AAAI symposia at Stanford (e.g., in 2018: Artificial Intelligence for the Internet of Everything).Ranjeev Mittu, is a Branch Head for the Information Management and Decision Architectures Branch within the Information Technology Division at the U.S. Naval Research Laboratory. He is the Section Head of Intelligent Decision Support Section which develops novel decision support systems through applying technologies from the AI, multi-agent systems and web services. He brings a strong background in transitioning R&D solutions to the operational community, demonstrated through his current sponsors including DARPA, OSD/NII, NSA, USTRANSCOM and ONR. He has authored 2 books, 5 book chapters, and numerous conference publications. He has an MS in Electrical Engineering from Johns Hopkins University. Donald (Don) Sofge is a Computer Scientist and Roboticist at the U.S. Naval Research Laboratory (NRL) with 30 years of experience in Artificial Intelligence and Control Systems R&D. He has served as PI/Co-PI on dozens of federally funded R&D programs and has authored/co-authored approximately 110 peer-reviewed publications, including several edited books, many journal articles, and several conference proceedings. Don leads the Distributed Autonomous Systems Group at NRL where he develops nature-inspired computing solutions to challenging problems in sensing, artificial intelligence, and control of autonomous robotic systems. His current research focuses on control of autonomous teams or swarms of robotic systems.