Detailansicht
Parallel Population and Parallel Human
eBook - A Cyber-Physical Social Approach, IEEE Press Series on Systems Science and Engineering
ISBN/EAN: 9781394181919
Umbreit-Nr.: 9765709
Sprache:
Englisch
Umfang: 352 S., 49.88 MB
Format in cm:
Einband:
Keine Angabe
Erschienen am 06.06.2023
Auflage: 1/2023
E-Book
Format: EPUB
DRM: Adobe DRM
- Zusatztext
- <b>Parallel Population and Parallel Human</b><p><b>Proposes a new paradigm to investigate an individuals cognitive deliberation in dynamic human-machine interactions</b><p>Today, intelligent machines enable people to interact remotely with friends, family, romantic partners, colleagues, competitors, organizations, and others. Virtual reality (VR), augmented reality (AR), artificial intelligence (AI), mobile social media, and other technologies have been driving these interactions to an unprecedented level. As the complexity in system control and management with human participants increases, engineers are facing challenges that arise from the uncertainty of operators or users.<p><i>Parallel Population and Parallel Human: A Cyber-Physical Social Approach</i> presents systemic solutions for modeling, analysis, computation, and management of individuals cognition and decision-making in human-participated systems, such as the MetaVerse. With a virtual-real behavioral approach that seeks to actively prescribe user behavior through cognitive and dynamic learning, the authors present a parallel population/human model for optimal prescriptive control and management of complex systems that leverages recent advances in artificial intelligence. Throughout the book, the authors address basic theory and methodology for modeling, describe various implementation techniques, highlight potential acceleration technologies, discuss application cases from different fields, and more. In addition, the text:<ul><li>Considers how an individuals behavior is formed and how to prescribe their behavioral modes</li><li>Describes agent-based computation for complex social systems based on a synthetic population from realistic individual groups</li><li>Proposes a universal algorithm applicable to a wide range of social organization types</li><li>Extends traditional cognitive modeling by utilizing a dynamic approach to investigate cognitive deliberation in highly time-variant tasks</li><li>Presents a new method that can be used for both large-scale social systems and real-time human-machine interactions without extensive experiments for modeling</li></ul><p><i>Parallel Population and Parallel Human: A Cyber-Physical Social Approach</i> is a must-read for researchers, engineers, scientists, professionals, and graduate students who work on systems engineering, human-machine interaction, cognitive computing, and artificial intelligence.
- Kurztext
- pubOne.info present you this new edition. Before beginning our story, we must warn the reader that it will not be worth his while to make researches among contemporary or other records as to the personage whose name it bears. For in truth neither Marie Leroux, widow of Jacques Constantin, nor her accomplice, Claude Perregaud, was of sufficient importance to find a place on any list of great criminals, although it is certain that they were guilty of the crimes with which they were charged. It may seem strange that what follows is more a history of the retribution which overtook the criminals than a circumstantial description of the deeds for which they were punished; but the crimes were so revolting, and so unsuitable for discussion, that it was impossible for us to enter into any details on the subject, so that what we offer in these pages is, we confess quite openly, not a full, true, and particular account of a certain series of events leading up to a certain result; it is not even a picture wherein that result is depicted with artistic completeness, it is only an imperfect narrative imperfectly rounded off
- Autorenportrait
- <p><b>Peijun Ye</b> is an Associate Professor at the State Key Laboratory for Management and Control of Complex Systems with the Institute of Automation at the Chinese Academy of Sciences. His research mainly focuses on cognitive computing, artificial intelligence, computational social science and intelligent transportation systems. He is an Associate Editor for several<i>IEEE Transactions</i> and journals.<p><b>Fei-Yue Wang</b> is Director of the State Key Laboratory for Management and Control of Complex Systems with the Institute of Automation at the Chinese Academy of Sciences, where he founded the Intelligent Control and Systems Engineering Center. He is an<i>AAAS Fellow, ASME Fellow, IFAC Fellow, INCOSE Fellow, IEEE Fellow</i> and an<i>Outstanding Scientist of ACM</i>. He has been serving as the Editor-in-Chief of several<i>IEEE Transactions</i> and journals.