David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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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|
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References found in this work BETA
Paul Humphreys (2004). Extending Ourselves Computational Science, Empiricism, and Scientific Method. Monograph Collection (Matt - Pseudo).
Mary B. Hesse (1966). Models and Analogies in Science. University of Notre Dame Press.
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.
Till Grüne-Yanoff (2009). Learning From Minimal Economic Models. Erkenntnis 70 (1):81-99.
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