Parallel Population and Parallel Human
A Cyber-Physical Social Approach
- English
- PDF
- Available on iOS & Android
About this book
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.
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Information
Table of contents
- Cover
- Title Page
- Copyright
- Contents
- Preface
- Acknowledgments
- Chapter 1 From Behavioral Analysis to Prescription
- Chapter 2 Basic Population Synthesis
- Chapter 3 Synthetic Population with Social Relationships
- Chapter 4 Architecture for Agent Decision Cycle
- Chapter 5 Evolutionary Reasoning
- Chapter 6 Knowledge Acquisition by Learning
- Chapter 7 Agent Calibration and Validation
- Chapter 8 High‐Performance Computing for Computational Deliberation Experiments
- Chapter 9 Interactive Strategy Prescription
- Chapter 10 Applications for Parallel Population/Human
- Chapter 11 Ethical and Legal Issues of Parallel Population/Human
- Appendix A Convergence for Multivariate IPF
- Index
- EULA