Resilient Complex Adaptive Systems

Modeling, Simulation, Visualization and Engineering Approaches

Inbunden, Engelska, 2026

AvClaudia Szabo,Rodrigo Castro,Viktoriya Semeshenko,Saurabh Mittal

1 949 kr

Kommande

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 systemsMulti-domain case studies spanning economics, defense, ecology, biology, and crisis management that illustrate CAS modeling techniquesMethods for designing emergent behavior properties in systems of interacting agents using state-of-the-art simulation frameworksEngineering approaches that extend acquired modeling knowledge toward building functional CAS with targeted resilience characteristicsVisualization techniques that support analysis of global-level properties arising from agent-based complex adaptive system interactionsDesigned 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.

Produktinformation

Utgivningsdatum2026-11-30
FormatInbunden
SpråkEngelska
Antal sidor576
Upplaga26001
FörlagJohn Wiley & Sons Inc
ISBN9781394326273

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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. 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. 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.

1 Modeling and Simulation of Resilient Complex Adaptive Systems 2 Emergent Behavior in Resilient Complex Adaptive Systems: Challenges, Metrics and Engineering Approach3 Epistemology of Resilient Complex Adaptive System Simulations4 From ABM back to real data: time series visualization and model selection in the K+S agent-based model5 Self-Aware Models with Explanatory Capabilities: Learning Explanatory Models from Simulation Experiments6 Multi-agent Reinforcement Learning for Decision Making in Contested Environments7 Intersectoral Labor Mobility in Argentina: Evolution and Resilience8 A Novel Integrated Agent-Based Computational Economics and Multi-Agent Reinforcement Learning Framework: Application to Macrocrisis Phenomena9 DEVS as a Method to Design Resilient Complex Adaptive Systems10 A Framework For Characterizing, Understanding and Predicting Behavior in Complex Edge Computing Systems11 Resilience-Aware Development Tools: Translating Resilience Concepts into Engineering Practice12 Artificial Intelligence Networks: Structure, Dynamics, and Economics13 Resilient Complex Adaptive Systems: A Communications Perspective14 Scalable Rigidity Maintenance Strategies for Networked Multirobot Systems: Overcoming Decentralized Coordination Challenges15 Immersive and Cognitive Urban Digital Twins for Sustainable and Resilient Smart Territories 16 The Role of Digital Twins in Improving River Water Quality17 Integrating Simulation and Real-World Models for Harmful Algal and Cyanobacterial Blooms Management18 Optimal Strategies to Contain and Prevent the Spread of Diseases in Group-structured Populations19 Research Agenda for Resilient Complex Adaptive Systems Acronyms