Parallel Population and Parallel Human Proposes a new paradigm to
investigate an individual’s cognitive deliberation in dynamic
human-machine interactions 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. Parallel Population and Parallel
Human: A Cyber-Physical Social Approach 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: Considers how an individual’s
behavior is formed and how to prescribe their behavioral modes
Describes agent-based computation for complex social systems based
on a synthetic population from realistic individual groups Proposes
a universal algorithm applicable to a wide range of social
organization types Extends traditional cognitive modeling by
utilizing a dynamic approach to investigate cognitive deliberation
in highly time-variant tasks 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 Parallel
Population and Parallel Human: A Cyber-Physical Social Approach 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.
General
Imprint: |
John Wiley & Sons
|
Country of origin: |
United States |
Series: |
IEEE Press Series on Systems Science and Engineering |
Release date: |
July 2023 |
First published: |
2023 |
Authors: |
Peijun Ye
• Fei-Yue Wang
|
Pages: |
352 |
ISBN-13: |
978-1-394-18189-6 |
Categories: |
Books
|
LSN: |
1-394-18189-2 |
Barcode: |
9781394181896 |
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