Resilient Complex Adaptive Systems: Modeling, Simulation, Visualization and Engineering Approaches
暫譯: 韌性複雜適應系統：建模、模擬、視覺化與工程方法
Szabo, Claudia, Castro, Rodrigo, Semeshenko, Viktoriya
- 出版商: Wiley
- 出版日期: 2026-09-29
- 售價: $4,750
- 貴賓價: 9.5 折 $4,512
- 語言: 英文
- 頁數: 576
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1394326270
- ISBN-13: 9781394326273
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相關分類:
Computer-Science、Machine Learning
尚未上市，無法訂購
商品描述
Analyze, design, and deploy resilient complex adaptive systems using MS&V
Resilient Complex Adaptive Systems: Modeling, Simulation, Visualization and Engineering Approaches demonstrates how modeling, simulation, and visualization facilitate the analysis, design, implementation, and deployment of resilient CAS. Across 17 chapters, this edited volume examines existing research from multiple perspectives, addressing emergent behavior, control and decision making, and utilization of advanced analytics using AI and machine learning with practical examples throughout.
The volume captures lessons learned from CAS modeling across application domains including economics, crisis management, biology, Internet of Things, defense, and ecology. Four structured goals guide readers from domain-specific MS&V foundations through emergent behavior design approaches and AI/ML-enabled analytics to the formulation of functional and resilient CAS engineering principles.
Readers will also find:
- Approaches for leveraging AI and machine learning to support control and decision making within resilient complex adaptive systems
- Multi-domain case studies spanning economics, defense, ecology, biology, and crisis management that illustrate CAS modeling techniques
- Methods for designing emergent behavior properties in systems of interacting agents using state-of-the-art simulation frameworks
- Engineering approaches that extend acquired modeling knowledge toward building functional CAS with targeted resilience characteristics
- Visualization techniques that support analysis of global-level properties arising from agent-based complex adaptive system interactions
Designed for researchers, lecturers, and graduate students in computer science, systems engineering, and computer engineering, this book also serves practitioners, program managers, research directors, and policy makers who require rigorous MS&V frameworks for understanding and engineering resilient complex adaptive systems.
商品描述(中文翻譯)
運用 MS&V 分析、設計及部署具韌性的複雜適應系統
《具韌性的複雜適應系統：建模、模擬、視覺化與工程方法》說明建模、模擬與視覺化如何協助分析、設計、實作及部署具韌性的複雜適應系統（Complex Adaptive Systems, CAS）。本書由 17 個章節組成，從多元觀點探討現有研究，涵蓋湧現行為、控制與決策，以及運用 AI 與 machine learning 的進階分析，並 throughout 全書提供實務範例。
本書彙整了在經濟、危機管理、生物學、Internet of Things、國防及生態學等應用領域進行 CAS 建模所獲得的經驗與教訓。四項結構化目標引導讀者從特定領域的 MS&V 基礎出發，逐步了解湧現行為設計方法、AI/ML 支援的分析技術，以及如何制定功能性且具韌性的 CAS 工程原則。
讀者還將學到：
• 運用 AI 與 machine learning 支援具韌性複雜適應系統中的控制與決策方法
• 涵蓋經濟、國防、生態學、生物學及危機管理等領域的跨領域案例研究，展示 CAS 建模技術
• 使用最先進的模擬框架，在互動代理人組成的系統中設計湧現行為特性的方法
• 將所獲得的建模知識延伸至建構具備目標韌性特徵之功能性 CAS 的工程方法
• 支援分析代理人式複雜適應系統互動所產生之全域層級特性的視覺化技術
本書適合 computer science、systems engineering 與 computer engineering 領域的研究人員、講師及研究所學生閱讀；同時也適合需要嚴謹 MS&V 架構，以理解並建構具韌性複雜適應系統的實務工作者、計畫經理、研究主管及政策制定者。
作者簡介
Claudia Szabo, PhD, is a Professor leading the Complex Systems Research group at the University of Adelaide. She has authored over 100 papers spanning simulation, model driven engineering, systems of systems, self-adaptive systems, reinforcement learning, and multi-agent systems.
Rodrigo Castro, PhD, is a Professor in the Department of Computer Science at the University of Buenos Aires. He leads the Discrete Event Simulation Laboratory and is Deputy Director of the Computer Science Institute. He has over 30 years' experience in the software industry with over 100 publications in modeling and simulation, including DEVS, Modelica, AI, hybrid and complex adaptive systems, spanning socio-natural and cyber-physical applications.
Viktoriya Semeshenko, PhD, is a Researcher leading the Complex Systems and Networks Laboratory (CSNetlab) at the Interdisciplinary Institute of Political Economy, University of Buenos Aires. She has authored over 30 publications applying network science, complexity, ABM and System Dynamics to socioeconomic systems, labor markets, and AI-driven structural change.
Saurabh Mittal, PhD, is a Director, JSE/SCARS at FlightSafety International. Previously, he was a Complex Systems Engineering - SME at Modern Technology Solution, Inc. and spent a decade as M&S SME at the MITRE Corporation. He has co-authored over 100 publications including 5 books covering DEVS, complex systems M&S, cyber-physical systems and cloud-enabled simulation systems.
作者簡介(中文翻譯)
Claudia Szabo 博士是 Adelaide University 的教授，領導 Complex Systems Research 研究團隊。她已發表超過 100 篇論文，研究領域涵蓋模擬、模型驅動工程、系統之系統、自適應系統、強化學習及多代理人系統。
Rodrigo Castro 博士是 University of Buenos Aires 電腦科學系教授。他領導 Discrete Event Simulation Laboratory，並擔任 Computer Science Institute 副主任。他在軟體產業擁有超過 30 年的經驗，並在建模與模擬領域發表超過 100 篇論文，研究主題包括 DEVS、Modelica、AI、混合系統與複雜自適應系統，應用範圍涵蓋社會—自然系統及資訊物理系統。
Viktoriya Semeshenko 博士是研究員，領導 University of Buenos Aires 跨領域政治經濟研究所的 Complex Systems and Networks Laboratory（CSNetlab）。她已發表超過 30 篇論文，將網路科學、複雜性科學、基於代理人的建模（ABM）及系統動力學應用於社會經濟系統、勞動市場及 AI 驅動的結構變遷。
Saurabh Mittal 博士是 FlightSafety International 的 JSE/SCARS Director。此前，他曾任職於 Modern Technology Solution, Inc.，擔任複雜系統工程領域的主題專家（SME），並在 MITRE Corporation 擔任建模與模擬（M&S）主題專家長達十年。他共同撰寫超過 100 篇出版品，其中包括 5 本著作，主題涵蓋 DEVS、複雜系統建模與模擬、資訊物理系統，以及雲端支援的模擬系統。
