Next Article in Journal
The Teleodynamics of Language, Culture, Technology and Science (LCT&S)
Previous Article in Journal / Special Issue
On the Predictability of Classical Propositional Logic
Article Menu

Export Article

Open AccessArticle
Information 2013, 4(1), 75-93; doi:10.3390/info4010075

Epistemological Levelism and Dynamical Complex Systems: The Case of Crowd Behaviour

Complex Systems and Artificial Intelligence (CSAI) Research Center, University of Milano-Bicocca, Viale Sarca 336/14, 20126 Milano, Italy
Author to whom correspondence should be addressed.
Received: 19 November 2012 / Revised: 13 December 2012 / Accepted: 7 January 2013 / Published: 15 January 2013
View Full-Text   |   Download PDF [1915 KB, uploaded 15 January 2013]   |  


The main aim of this paper is to show how the design and creation of computational models to study and simulate of the behaviour of dynamical complex systems, and in particular crowds of pedestrian, actually implicitly employs elements of a framework introduced by Luciano Floridi in his paper “The Method of Levels of Abstraction”. The example of the computer based simulation of the complex phenomenon of crowd dynamics and the related knowledge requiring different abstract levels and representation will be introduced in order to show how concepts like observables and system behaviour are commonly employed to compare and evaluate simulation models.
Keywords: complex systems; simulation; crowd complex systems; simulation; crowd
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Bandini, S.; Vizzari, G. Epistemological Levelism and Dynamical Complex Systems: The Case of Crowd Behaviour. Information 2013, 4, 75-93.

Show more citation formats Show less citations formats

Article Metrics

Article Access Statistics



[Return to top]
Information EISSN 2078-2489 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top