Modeling Social Behavior - Mathematical Agent Based Models of Social Dynamics Cultural

"Some of the most pressing questions of our time concern how groups behave, from political polarization and cooperation to collective action, social influence and cultural evolution. This book is intended to equip scholars in the social, behavioral, and cognitive sciences with a toolkit for thinking about and studying social dynamics using mathematical and computational models. Currently, there are two approaches for modeling social dynamics: mathematical models and agent-based models. In this book, Smaldino treats the two traditions as complementary, rather than separate. Combining theory-driven instruction on key mathematical and agent-based models of social dynamics and cultural evolution with practical, specific examples of how to use models, the book offers an introduction to both kinds of modelling and shows readers how to build their own models, analyze them, and integrate them with empirical research.The book assumes minimal background in either programming or advanced mathematics"--

A propos de l'auteur

Paul E. Smaldino is professor of cognitive and information sciences at the University of California, Merced, and external professor at the Santa Fe Institute.

Détails du produit

• Auteurs: Paul Smaldino, Paul E. Smaldino
• Edition: Princeton University Press
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 03.10.2023
• EAN: 9780691224145
• ISBN: 978-0-691-22414-5
• Pages: 360
• Catégories: Littérature spécialisée > Psychologie, ésotérique, spiritualité, anthroposophie > Psychologie: général, ouvrages de référence; Sciences sociales, droit, économie > Sociologie > Général, dictionnaires; SOCIAL SCIENCE / Research, SCIENCE / Research & Methodology, SOCIAL SCIENCE / Anthropology / Cultural & Social, SOCIAL SCIENCE / Methodology, SOCIAL SCIENCE / Sociology / Social Theory, SCIENCE / Cognitive Science, computer science, Social & cultural anthropology, ethnography, Social and cultural anthropology, Cognitive studies, Cognitive Science, COMPUTERS / Data Science / Data Modeling & Design, Data analysis: general, Data science and analysis: general