Liebe Besucherinnen und Besucher,
aufgrund unseres Sommerfestes sind wir am 03. September 2026 bis 14 Uhr erreichbar. Am 04. September 2026 sind wir wieder wie gewohnt für Sie da. Vielen Dank für Ihr Verständnis.
Ihr Team von Sack Fachmedien
Methodology
Buch, Englisch, 406 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: AI for Risks
ISBN: 978-981-9253-30-2
Verlag: Springer
The book adopts a "problem-driven, multi-disciplinary integration, practice-oriented" approach. It starts with real social issues (cross-cultural crowd safety, supply chain risks), integrates AI, complex system science, and behavioral economics, and follows a "theory modeling-algorithm development-platform construction-scenario verification" closed loop to ensure theoretical rigor and practical applicability.
It breaks three traditional limitations: integrates agent value functions with causal mechanisms to solve static modeling issues; develops a parallel "sub-regional evolution algorithm" to balance large-scale simulation and interpretability; embeds cultural dimensions into modeling to enhance cross-cultural adaptability, avoiding single-scenario bias. It covers five modules: heterogeneous agent modeling (theoretical foundation), interpretable behavior pattern modeling (core technology), social system simulation platform construction (tool support), scenario applications (crowd simulation, supply chain risk management), and guarantee systems (international cooperation, risk control).
The target audience may include academic researchers (graduates, scholars), industry practitioners (smart city, emergency management staff), and policy makers. Content level: progressive, with basic theories for beginners, advanced technologies for developers, and application cases for practitioners.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Chapter 1. Introduction.- Chapter 2. Fundamentals of Single-Agent Value Function Modeling.- Chapter 3. Construction of Single-Agent Causal Mechanisms.- Chapter 4. Behavioral Evolution Analysis of Single Agents.- Chapter 5. Heterogeneity Handling of Single Agents.- Chapter 6. Collaboration Mechanisms in Multi-Agent Systems.- Chapter 7. Game Mechanisms in Multi-Agent Systems.- Chapter 8. Dynamic Evolution of Large-Scale Heterogeneous Systems.- Chapter 9. Research on Emergency Management of Crowd Gathering Activities.- Chapter 10. Conclusions and Prospects.




