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
Verhagen / Chappin / Scholz Advances in Social Simulation
Erscheinungsjahr 2026
ISBN: 978-3-032-31712-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Proceedings of the 20th Social Simulation Conference, Delft, The Netherlands, 25-29 August, 2025
E-Book, Englisch, 725 Seiten
Reihe: Social Sciences
ISBN: 978-3-032-31712-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book covers the latest advances in applying agent-based modelling in social sciences. The Social Simulation Conference is the major global conference devoted to this topic. It is aimed at promoting social simulation and computational social science.
This year’s special theme is
The primary audience of this book are scholars and practitioners in computational social sciences including economics, business, sociology, politics, psychology and urban studies.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Learning about polarization from simulation: a comparative analysis of four models.- Replicating DomWorld.- Social Simulation at the End of Life.- Every opinion dynamics model is a class of equivalent models.- Agent-based modelling of anticipatory anxiety: Theoretical foundations and application on bullying.- Introducing Threat-Perceiving Actors in Group-Selective Public Goods Games.- Bridging the Planning-Implementation Gap in Residential Heating Transitions: Using Agent-Based Modelling to Decompose Adoption Obstacles.- The Influence of Socio-Technical Factors on Evacuation Performance of University Buildings.- When can you use LLMs for ABM?.- Does reinforcement learning always outperform agent-based models when replicating real-world scenarios?.- Generative agent-based modeling for climate adaptation policy: A flood resilience perspective.- From Qualitative Analysis to Algorithms - Modelling Knowledge Flow on Climate Change Adaptation.




