David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Formidable difficulties face anyone trying to model social phenomena using a formal system, such as a computer program. The differences between formal systems and complex, multi-facetted and meaning-laden social systems are so fundamental that many will criticise any attempt to bridge this gap. Despite this, there are those who are so bullish about the project of social simulation that they appear to believe that simple computer models, that are also useful and reliable indicators of how aspects of society works, are not only possible but within our grasp. This paper seeks to pour water on such optimism but, on the other hand, show that useful computational models might be ‘evolved’ In this way it is disagreeing with both naive positivist and relativistic post-modernist positions. However this will require a greater ‘selective pressure’ against models that are not grounded in evidence, ‘floating models’, and will result in a plethora of complex and context-specific models.
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
Jean‐Christophe Chiêm, Thérèse Van Durme, Florence Vandendorpe, Olivier Schmitz, Niko Speybroeck, Sophie Cès & Jean Macq (2013). Expert Knowledge Elicitation Using Computer Simulation: The Organization of Frail Elderly Case Management as an Illustration. Journal of Evaluation in Clinical Practice 20 (4):534-543.
Similar books and articles
Peter Krebs (2007). Virtual Models and Simulations. Techne 11 (1):42-54.
Nancy J. Nersessian (2006). Model-Based Reasoning in Distributed Cognitive Systems. Philosophy of Science 73 (5):699-709.
Ruth Meyer & Bruce Edmonds, Signatures in Networks Generated From Agent-Based Social Simulation Models.
Keith R. Sawyer (2004). Social Explanation and Computational Simulation. Philosophical Explorations 7 (3):219 – 231.
Nigel Gilbert & Pietro Terna (2000). How to Build and Use Agent-Based Models in Social Science. Mind and Society 1 (1):57-72.
Steven L. Peck (2008). The Hermeneutics of Ecological Simulation. Biology and Philosophy 23 (3):383-402.
Margarita Vázquez Campos & Manuel Liz Gutierrez (2007). Patchwork in the Social Sciences. The Proceedings of the Twenty-First World Congress of Philosophy 5:109-113.
Added to index2009-10-01
Total downloads13 ( #194,523 of 1,726,249 )
Recent downloads (6 months)5 ( #147,227 of 1,726,249 )
How can I increase my downloads?