Advances in Social Simulation

Proceedings of the 20th Social Simulation Conference, Delft, The Netherlands, 25-29 August, 2025
Erscheinungsjahr 2026
ISBN: 978-3-032-31711-7
Verlag: Springer

Buch, Englisch, 725 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1265 g

Reihe: Springer Proceedings in Complexity

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.

Verhagen, Harko

Chappin, Emile

Scholz, Geeske

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
• Sozialwissenschaften Psychologie Psychologie / Allgemeines & Theorie Psychologie: Allgemeines
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
• Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik

Inhaltsverzeichnis

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.

Über Autor(innen)

Harko Verhagen is a professor at the Department of Computer and Systems Sciences of Stockholm University where he also defended his Ph.D. He is author of over 110 peer-reviewed conference and journal papers as well as editor of several books. His research addresses norms and other social science concepts for artificial agents, social aspects of computer gaming, agent-based social simulation and ethics and AI design and development.

Emile Chappin is an associate professor of Energy Systems & Simulation and head of the Energy and Industry Group of the department Engineering Systems and Services of the Faculty Technology Policy and Management of Delft University of Technology. He is also the co-director of the TPM Energy Transition Lab. In his research, Emile connects developments in modelling methodology to an understanding of complex socio-technical energy systems in order to better understand how to model analyse and design (parts) of the energy transition. His primary interests are to unravel the possible long-term dynamics of energy systems and how they are shaped by energy policies.

Geeske Scholz has held academic positions in Germany, Scotland and the Netherlands. Since June 2025, she has been working as a researcher at the University of Bremen, leading the Network and Stakeholders subgroup. Her research focuses on the analysis of social complexity, with particular attention to social learning, social identity and group dynamics. A central aspect of her work is the formalisation of social science theory in agent-based models.