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.
Randomness, Emergence and Causation: A Historical Perspective of Simulation in the Social Sciences
Raffaello Seri
Primo
;Davide SecchiSecondo
;Mario MartinoliUltimo
2022-01-01
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.
File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
B019.pdf
non disponibili
Tipologia:
Versione Editoriale (PDF)
Licenza:
Copyright dell'editore
Dimensione
544.52 kB
Formato
Adobe PDF
|
544.52 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
