Advances in Social Simulation: Proceedings of the 16th Social Simulation Conference, 20-24 September 2021

This book covers the latest advances in applying agent-based modelling in social sciences, with a special theme on "Social Simulation geared towards Post-Pandemic times" to address economic recovery, globalization, inequality, sustainable growth, and social changes induced by digitalization, data availability, and artificial intelligence. It is aimed at scholars and practitioners in computational social sciences.

Format: Hardback
Length: 470 pages
Publication date: 30 March 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the cutting-edge advancements in applying agent-based modelling in social sciences. The Social Simulation Conference, a renowned global event, stands as a central platform dedicated to this field. Its primary objective is to foster social simulation and computational social science, promoting interdisciplinary research and collaboration.

This year's special theme, "Social Simulation geared towards Post-Pandemic times," encompasses a wide range of topics, not limited to the immediate challenges posed by the current pandemic but also extending to future challenges related to economic recovery, such as localization, globalization, inequality, sustainable growth, and the social transformations brought about by progressive digitalization, data availability, and artificial intelligence.

The primary target audience of this book encompasses scholars and practitioners in computational social sciences, including economics, business, sociology, politics, psychology, and urban studies. By exploring the latest developments and methodologies in agent-based modelling, this resource provides valuable insights and practical applications for understanding complex social systems and addressing pressing societal challenges.

The book is organized into five chapters, each covering a distinct aspect of agent-based modelling in social sciences. The first chapter provides an introduction to the topic, outlining the key principles and methodologies employed in agent-based modelling. The subsequent chapters delve into specific applications, such as agent-based modelling in economics, sociology, politics, and psychology.

Each chapter is authored by leading experts in their respective fields, ensuring a comprehensive and authoritative coverage of the subject matter. The book incorporates a wealth of examples, case studies, and practical insights, making it accessible to both academic researchers and practitioners seeking to apply agent-based modelling in their work.

In conclusion, this book serves as a vital resource for scholars and practitioners interested in advancing their understanding of social systems and addressing pressing societal challenges through the application of agent-based modelling. With its comprehensive coverage, interdisciplinary approach, and practical insights, it provides a valuable contribution to the field of computational social science.

Weight: 893g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030928421
Edition number: 1st ed. 2022