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Artificial Intelligence for the Internet of Everything
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From the Back Cover
Artificial Intelligence for the Internet of Everything Edited by William Lawless, Ranjeev Mittu, Don Sofge, Ira S. Moskowitz, Steve Russell The “Internet of Things” (IoT) refers to networks of physical devices (cars, homes, appliances) embedded within electronic sensors, actuators, and data bases that integrate these physical devices into a large system to allow them all to interconnect and exchange data. Expanding IoT into specific disciplines (medical, educational, etc.) argued for a more general term. This edited volume, titled Artificial Intelligence for the Internet of Everything, examines the meaning, value, and effect that IoT has had and may have on ordinary life, in the business and industrial world, on the battlefield, and with the rise of intelligent and autonomous systems. Based on an artificial intelligence (AI) perspective, this book addresses how IoE affects sensing, perception, cognition and behavior, as well as the causal relations occurring among users and devices. Each chapter addresses practical, measurement, theoretical and research questions about how these “things” may affect individuals, teams, society, or each other. Of particular focus is what may happen when these “things” begin to reason, communicate and act autonomously on their own, whether independently or interdependently with other “things” autonomously. This book considers the foundations, metrics, and applications of IoE systems. In this book, the authors debate whether devices and IoE systems should speak only to each other, to humans or to both. Further, this book explores how IoE systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems. About the Editors The team of editors for this book has organized eight Association for the Advancement of Artificial Intelligence (AAAI) symposia at Stanford University. Based on these symposia, they have published three previous books on topics related to AI, as well as numerous book chapters, articles, and peer-reviewed conference proceedings. Their forthcoming AAAI-19 Spring Symposium at Stanford University is on building a “shared context” between humans and artificial agents (robots, machines) through AI and machine learning.
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About the Author
Dr. Lawless was formerly an engineer who oversaw nuclear waste management; in 1983, he became a whistle blower against the Department of Energy’s (DOE) mismanagement of its radioactive wastes. For his PhD, he studied the causes of mistakes by large organizations with world-class scientists and engineers. After his PhD, DOE invited him to join its citizen advisory board at DOE’s Savannah River Site, Aiken, SC. As a founding member, he coauthored over 100 recommendations on DOE’s environmental remediation. Afterwards, he became the Board’s technical advisor. He was a member of the European Trustnet hazardous decisions group. He is a senior member of IEEE. His research is on mathematical metrics for teams. He has previously published three co-edited books on Artificial Intelligence. He has published over 70 articles and book chapters, 145 peer-reviewed proceedings; and is co-editing a Special Issue of AI Magazine on “Computational context”. He has co-organized eight AAAI symposia at Stanford (e.g., in March 2018: Artificial Intelligence for the Internet of Everything; in March 2019: Artificial intelligence (AI), autonomous machines and constructing context: User interventions, social awareness and interdependence; see at: http://www.aaai.org/Symposia/Spring/sss19.php; see our supplemental website for details: https://sites.google.com/site/aaai19sharedcontext/).Mr. Mittu is the Branch Head for the Information Management and Decision Architectures Branch within the Information Technology Division at the U.S. Naval Research Laboratory. His research expertise is in multi-agent systems, artificial intelligence, machine learning, data mining, pattern recognition and anomaly detection. He has a track record for transitioning technology solutions to the operational community. Mr. Mittu received a technology transfer award at NRL in August 2012 for transitioning software to USTRANSCOM. He has authored one book, coedited three books, and written 5 book chapters and numerous conference publications. He has an MS in Electrical Engineering from The Johns Hopkins University. He has participated in The Technical Cooperation Program (TTCP) for scientific exchanges between New Zealand, UK, Australia, Canada and USA (2005-09); served as Subject Matter Expert for Joint IED Defeat Organization (2007-2008) and Netcentric Systems Test S&T working group in association with U.S. Army Program Executive Office for Simulation, Training, and Instrumentation (PEO STRI); and served on NRL’s Invention Evaluation Board (IEB) to evaluate technologies and concepts for potential filing with the USPTO (2006-2008).Mr. 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 or Co-PI on dozens of federally funded R&D programs, and has more than 100 peer-reviewed publications on autonomy, intelligent control, quantum computing, and related topics, including 5 books, 10 book chapters, 19 journal articles, 62 conference papers, and one patent. He leads the Distributed Autonomous Systems Group at NRL where he develops nature-inspired computing solutions to challenging problems in sensing, artificial intelligence, and the control of autonomous robotic systems. His current research focuses on the control of autonomous teams or swarms of robotic systems for Navy relevant missions. He has served on numerous technical peer review panels for government agencies including ONR, DARPA, Army, NASA, and NSF. He is also frequently called upon to review submissions for a variety of journals and conferences, and regularly serves in a professional capacity to help organize conferences, symposia, and workshops. He currently serves on several editorial boards for journals related to computational intelligence and control, as well as technical advisory panels on robotics and autonomy (viz., OSTP, OSD, DARPA, NSF, TTCP, and NATO). He also serves as Adjunct Faculty at the University of Maryland where he teaches a popular graduate-level course on "Robot Learning".Dr. Moskowitz has been a mathematician at the Naval Research Laboratory (NRL) for 29 years; presently, he is in the Information Management and Decision Architectures Branch within NRL’s Information Technology Division. Prior to his work at NRL, he was a mathematics professor. His PhD was in Differential Topology from Stony Brook University, Stony Brook, New York. His research areas are information theory and information hiding. His major contributions have been to the area of covert channel analysis. He has over 120 publications and three patents. In particular he is the co-inventor of the NRL Network Pump ®.Dr. Russell is currently the Battlefield Information Processing Branch Chief at the Army Research Laboratory. Dr. Russell received a B.Sc. in Computer Science and M.S. and Ph.D. degrees in Information Systems from the University of Maryland. His primary research interests are in the area of decision support systems, machine learning, systems architectures, and intelligent systems. His published research articles appear in Expert Systems with Applications, Decision Support Systems Journal, the Encyclopedia of Decision Making and Decision Support Technologies, and Frontiers in Bioscience, amongst others.
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Product details
Paperback: 303 pages
Publisher: Academic Press; 1 edition (March 11, 2019)
Language: English
ISBN-10: 0128176369
ISBN-13: 978-0128176368
Product Dimensions:
6 x 0.6 x 9 inches
Shipping Weight: 1.1 pounds (View shipping rates and policies)
Average Customer Review:
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Amazon Best Sellers Rank:
#1,793,974 in Books (See Top 100 in Books)
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