David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Synthese 169 (3):521 - 538 (2009)
Using four examples of models and computer simulations from the history of psychology, I discuss some of the methodological aspects involved in their construction and use, and I illustrate how the existence of a model can demonstrate the viability of a hypothesis that had previously been deemed impossible on a priori grounds. This shows a new way in which scientists can learn from models that extends the analysis of Morgan (1999), who has identified the construction and manipulation of models as those phases in which learning from models takes place.
|Keywords||Cognitive psychology Computer simulations Learning Models History of psychology Scientific practice Clark L. Hull William Grey Walter Methodology|
|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
Roberto Cordeschi (1991). The Discovery of the Artificial: Some Protocybernetic Developments 1930-1940. Artificial Intelligence and Society 5 (3):218-238.
Roman Frigg & Stephan Hartmann (2005). Scientific Models. In Sahotra Sarkar et al (ed.), The Philosophy of Science: An Encyclopedia, Vol. 2. Routledge.
Rhodri Hayward (2001). The Tortoise and the Love-Machine: Grey Walter and the Politics of Electroencephalography. Science in Context 14 (4).
Citations of this work BETA
Julian Reiss (2012). The Explanation Paradox. Journal of Economic Methodology 19 (1):43-62.
Till Grüne-Yanoff (2009). Learning From Minimal Economic Models. Erkenntnis 70 (1):81 - 99.
Similar books and articles
Johannes Lenhard (2007). Computer Simulation: The Cooperation Between Experimenting and Modeling. Philosophy of Science 74 (2):176-194.
Monica Bucciarelli (2007). How the Construction of Mental Models Improves Learning. Mind and Society 6 (1):67-89.
Axel Gelfert (2011). Scientific Models, Simulation, and the Experimenter's Regress. In Paul Humphreys & Cyrille Imbert (eds.), Models, Simulations, and Representations. Routledge.
Nigel Gilbert & Pietro Terna (2000). How to Build and Use Agent-Based Models in Social Science. Mind and Society 1 (1):57-72.
Ronald N. Giere (2001). The Nature and Function of Models. Behavioral and Brain Sciences 24 (6):1060-1060.
Ulrich Krohs (2008). How Digital Computer Simulations Explain Real-World Processes. International Studies in the Philosophy of Science 22 (3):277 – 292.
Donald R. Franceschetti (2001). Biorobotic Simulations Might Offer Some Advantages Over Purely Computational Ones. Behavioral and Brain Sciences 24 (6):1058-1059.
Peter Krebs (2007). Virtual Models and Simulations. Techne 11 (1):42-54.
Added to index2009-01-28
Total downloads18 ( #103,336 of 1,413,415 )
Recent downloads (6 months)3 ( #67,529 of 1,413,415 )
How can I increase my downloads?