William F. Lawless, Ranjeev Mittu, Donald Sofge

Computational Context (eBook, PDF)

The Value, Theory and Application of Context with AI

• Format: PDF

Produktbeschreibung

Autonomous systems can manage uncertainty better than humans, but autonomous systems can also fail. Perturbations against a team may clarify context; e.g., a competition between teams. But modeling perturbations, especially between multiple autonomous hybrid human-machine-robot systems, is a challenges address in this book.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 328
• Erscheinungstermin: 7. Dezember 2018
• Englisch
• ISBN-13: 9780429841859
• Artikelnr.: 54782663

Autorenporträt

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.