Computational Experiments: A Bridge Between Artificial Intelligence and Social Sciences
暫譯: 計算實驗：人工智慧與社會科學之間的橋樑
Xue, Xiao, Wang, Fei-Yue
- 出版商: Wiley
- 出版日期: 2026-08-17
- 售價: $5,320
- 貴賓價: 9.5 折 $5,054
- 語言: 英文
- 頁數: 544
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1394377452
- ISBN-13: 9781394377459
-
相關分類:
Reinforcement、Large language model
尚未上市，無法訂購
商品描述
A methodological framework for bridging the gap between Artificial Intelligence and Social Sciences
Complex cyber-physical-social systems demand rigorous analysis, design, regulation and validation methods that traditional approaches cannot provide. Computational Experiments: A Bridge between Artificial Intelligence and Social Sciences delivers a systematic methodology spanning modeling, simulation, and validation of intelligent systems. Written by leading researchers in complex systems and artificial intelligence, this work provides both theoretical foundations and practical frameworks for studying intricate social and physical systems.
The book covers the artificial society modeling framework across four levels: AI agents and prospect theory, learning mechanisms of AI agents, AI society and social networks, and integration with environmental systems. It addresses how computational experiments incorporate generative agents and large language models, and explores policy sandboxes for decision analysis and social system behavior prediction in complex contexts.
The book also discusses:
- Comprehensive coverage of computational experiment methodology including origins, development history, and knowledge frameworks essential for practical applications
- Social simulation technology foundations providing unique insights into simulating and deducing complex social systems from interdisciplinary research perspectives
- Detailed exploration of AI agent architectures incorporating prospect theory, reinforcement learning mechanisms, and multi-agent coordination strategies for system modeling
- Frameworks for integrating virtual and real-world intelligence to improve predictive capabilities and support decision-making in complex operational environments
Designed for professors, researchers, and graduate students in computer science, artificial intelligence, social computing, and systems engineering, this book also serves professionals in policy simulation, strategic planning, and smart system development who require rigorous methods for validating intelligent system behavior.
商品描述(中文翻譯)
**一個橋接人工智慧與社會科學之間的方法論框架**
複雜的網路物理社會系統需要嚴謹的分析、設計、規範和驗證方法，而傳統方法無法提供這些。《計算實驗：人工智慧與社會科學之間的橋樑》提供了一個系統的方法論，涵蓋智能系統的建模、模擬和驗證。這本書由複雜系統和人工智慧領域的領先研究者撰寫，提供了研究複雜社會和物理系統的理論基礎和實用框架。
本書涵蓋了人工社會建模框架的四個層面：AI代理與前景理論、AI代理的學習機制、AI社會與社交網絡，以及與環境系統的整合。它探討了計算實驗如何結合生成代理和大型語言模型，並探索在複雜背景下進行決策分析和社會系統行為預測的政策沙盒。
本書還討論了：
- 計算實驗方法論的全面覆蓋，包括起源、發展歷史和實用應用所需的知識框架
- 社會模擬技術基礎，從跨學科研究的角度提供對模擬和推導複雜社會系統的獨特見解
- 詳細探討結合前景理論、強化學習機制和多代理協調策略的AI代理架構，用於系統建模
- 整合虛擬與現實世界智能的框架，以提高預測能力並支持複雜操作環境中的決策制定
本書旨在為計算機科學、人工智慧、社會計算和系統工程的教授、研究人員和研究生提供指導，同時也為需要嚴謹方法來驗證智能系統行為的政策模擬、戰略規劃和智能系統開發的專業人士服務。
作者簡介
Xiao Xue, PhD, is a Professor in the School of Software, College of Intelligence and Computing, at Tianjin University. He has authored three academic books and over 50 articles in prestigious international journals including the IEEE Transactions series. He serves as Associate Editor for IEEE Transactions on Intelligent Vehicles, International Journal of Crowd Science, and Complex System Modeling and Simulation.
Fei-Yue Wang, PhD, is Director of the State Key Laboratory for Management and Control of Complex Systems at the Chinese Academy of Sciences, where he founded the Intelligent Control and Systems Engineering Center. He is an IEEE Fellow, AAAS Fellow, ASME Fellow, IFAC Fellow, INCOSE Fellow, and Outstanding Scientist of ACM. He serves as Editor-in-Chief of several IEEE Transactions and journals.
作者簡介(中文翻譯)
蕭學，博士，是天津大學智能與計算學院軟體學院的教授。他著有三本學術書籍，並在包括IEEE Transactions系列在內的多本國際知名期刊上發表了超過50篇文章。他擔任IEEE Transactions on Intelligent Vehicles、International Journal of Crowd Science以及Complex System Modeling and Simulation的副編輯。
王飛躍，博士，是中國科學院複雜系統管理與控制國家重點實驗室的主任，並創立了智能控制與系統工程中心。他是IEEE Fellow、AAAS Fellow、ASME Fellow、IFAC Fellow、INCOSE Fellow以及ACM的傑出科學家。他擔任多本IEEE Transactions和期刊的主編。
