Parallel Population and Parallel Human: A Cyber-Physical Social Approach

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.

「平行人口與平行人類：一種以網絡社會為基礎的人機協同方法」提出了一種新的範式，用於研究個體在動態人機互動中的認知思考。如今，智能機器使人們能夠與朋友、家人、戀人、同事、競爭對手、組織和其他人進行遠程互動。虛擬現實（VR）、擴增現實（AR）、人工智能（AI）、移動社交媒體和其他技術推動了這些互動達到了前所未有的水平。隨著系統控制和管理的複雜性與人類參與者的增加，工程師面臨著來自操作者或用戶不確定性的挑戰。

「平行人口與平行人類：一種以網絡社會為基礎的人機協同方法」提出了在人類參與的系統（如元宇宙）中對個體的認知和決策進行建模、分析、計算和管理的系統性解決方案。作者們提出了一種虛擬-現實行為方法，通過認知和動態學習來主動規定用戶行為，並提出了一種平行人口/人類模型，用於複雜系統的最佳規定控制和管理，並利用了人工智能的最新進展。在整本書中，作者們介紹了建模的基本理論和方法論，描述了各種實施技術，突出了潛在的加速技術，討論了來自不同領域的應用案例等。此外，本書還包括以下內容：

- 考慮個體行為是如何形成以及如何規定其行為模式
- 描述基於真實個體群體的合成人口的複雜社會系統的基於代理的計算
- 提出一種適用於各種社會組織類型的通用算法
- 通過利用動態方法擴展傳統的認知建模，研究高度時變任務中的認知思考
- 提出一種新的方法，可用於大規模社會系統和實時人機互動，無需進行大量建模實驗

「平行人口與平行人類：一種以網絡社會為基礎的人機協同方法」是系統工程、人機交互、認知計算和人工智能領域的研究人員、工程師、科學家、專業人士和研究生必讀的書籍。

Peijun Ye 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 IEEE Transactions and journals.

Fei-Yue Wang 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 AAAS Fellow, ASME Fellow, IFAC Fellow, INCOSE Fellow, IEEE Fellow and an Outstanding Scientist of ACM. He has been serving as the Editor-in-Chief of several IEEE Transactions and journals.

葉培鈞是中國科學院自動化研究所複雜系統管理與控制國家重點實驗室的副教授。他的研究主要集中在認知計算、人工智慧、計算社會科學和智能交通系統。他是多個IEEE Transactions和期刊的副編輯。

王飛跃是中國科學院自動化研究所複雜系統管理與控制國家重點實驗室的主任，他創辦了智能控制與系統工程中心。他是AAAS Fellow、ASME Fellow、IFAC Fellow、INCOSE Fellow、IEEE Fellow和ACM傑出科學家。他一直擔任多個IEEE Transactions和期刊的主編。