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Randomness, Emergence and Causation: A Historical Perspective of Simulation in the Social Sciences

Chapter
Publication Date:
2022
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.
Iris type:
Articolo in Volume
Keywords:
simulation models, randomness, emergence, causation, agent-based models
List of contributors:
Seri, Raffaello; Secchi, Davide; Martinoli, Mario
Authors of the University:
SERI RAFFAELLO
Handle:
https://irinsubria.uninsubria.it/handle/11383/2114225
Book title:
Complexity and Emergence
Published in:
SPRINGER PROCEEDINGS IN MATHEMATICS & STATISTICS
Journal
SPRINGER PROCEEDINGS IN MATHEMATICS & STATISTICS
Series
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Overview

URL

https://doi.org/10.1007/978-3-030-95703-2_7
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