Randomness, Emergence and Causation: A Historical Perspective of Simulation in the Social Sciences
Abstract
This chapter is a review of some simulation models, with special reference to social sciences. Three critical aspects are identified–i.e. randomness, emergence and causation–that may help understand the evolution and the main characteristics of these simulation models. Several examples illustrate the concepts of the paper.
Type
Publication
Complexity and Emergence, Lake Como School of Advanced Studies, Italy, July 22–27, 2018, edited by S. Albeverio, E. Mastrogiacomo, E. Rosazza Gianin and S. Ugolini, Springer Proceedings in Mathematics & Statistics 383, Springer, pp. 163-195
Raffaello Seri
Professor of Econometrics
My research interests include statistics, numerical analysis, operations research, psychology, economics and management.