Scenarios Engineering for Services Science: Towards Trustworthy and Reliable Services Systems with New AI
暫譯: 服務科學的情境工程：朝向可信賴與可靠的服務系統與新人工智慧
Li, Xuan, Wang, Fei-Yue
相關主題
商品描述
This book presents a comprehensive framework of scenarios engineering designed to guide and support services science in the era of modern AI. Offering a systematic overview of recent advancements, it explores key challenges and opportunities in both services science and scenarios engineering. The framework, grounded in parallel intelligence theory, addresses critical issues posed by emerging AI technologies in services systems, while providing tools for analysis, validation, and calibration. It also offers a platform for evaluating, analyzing, and comparing existing Scenarios Engineering for Services Science (SE4SS) projects, as well as guiding new research endeavors. By integrating core elements of services science, such as services systems, metrics, technology, automation, and ethics, through a multidimensional lens, the book enables researchers to explore foundational models, intelligent systems, domain-specific knowledge bases, datasets, and virtual systems. Case studies from various academic fields illustrate the application of standardized dimensions and metrics, fostering interdisciplinary insights and accelerating the development of the field.
The book is designed for researchers, practitioners, and students interested in the intersection of services science and artificial intelligence. It balances theoretical depth with practical application, offering valuable case studies and examples that clarify core concepts and make the material accessible. With its goal-oriented approach, the book is ideal for academics exploring advancements in services science and AI, data scientists applying AI to services systems, and students seeking to deepen their understanding of these rapidly evolving fields.
商品描述(中文翻譯)
這本書提供了一個全面的情境工程框架，旨在指導和支持現代人工智慧時代的服務科學。它系統性地概述了最近的進展，探討了服務科學和情境工程中的關鍵挑戰與機會。該框架基於平行智慧理論，解決了新興人工智慧技術在服務系統中所帶來的關鍵問題，同時提供分析、驗證和校準的工具。它還提供了一個平台，用於評估、分析和比較現有的服務科學情境工程（Scenarios Engineering for Services Science, SE4SS）項目，並指導新的研究工作。通過多維度的視角，整合服務科學的核心元素，如服務系統、指標、技術、自動化和倫理，這本書使研究人員能夠探索基礎模型、智能系統、特定領域的知識庫、數據集和虛擬系統。來自各個學術領域的案例研究展示了標準化維度和指標的應用，促進了跨學科的見解，加速了該領域的發展。
本書旨在為對服務科學和人工智慧交集感興趣的研究人員、實務工作者和學生而設計。它在理論深度與實際應用之間取得平衡，提供有價值的案例研究和示例，澄清核心概念並使材料易於理解。以目標導向的方法，本書非常適合探索服務科學和人工智慧進展的學者、將人工智慧應用於服務系統的數據科學家，以及希望加深對這些快速發展領域理解的學生。
作者簡介
Xuan Li is an Associate Professor at the Beijing Institute of Technology, Zhuhai, China. His current research interests include parallel intelligence, scenario engineering, machine learning, and intelligent systems.
Fei-Yue Wang received his Ph.D. in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, New York, USA in 1990. He is the Director of the State Key Laboratory for Management and Control of Complex Systems, CASIA, the EiC of IEEE Transactions on Intelligent Vehicles and China's Journal of Intelligent Science and Technology, and the President of CAA Supervision Council. His current research focuses on methods and applications for parallel intelligence, social computing, and knowledge automation.
作者簡介(中文翻譯)
Xuan Li 是中國珠海北京理工大學的副教授。他目前的研究興趣包括平行智能、情境工程、機器學習和智能系統。
Fei-Yue Wang 於1990年在美國紐約州特洛伊的倫斯勒理工學院獲得計算機與系統工程博士學位。他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、《IEEE 智能車輛期刊》的主編以及《中國智能科學與技術期刊》的主編，並且是CAA監督委員會的主席。他目前的研究重點是平行智能、社會計算和知識自動化的方法與應用。
