David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Economics and Philosophy 24 (3):381-406 (2008)
We argue that neuroeconomics should be a mechanistic science. We defend this view as preferable both to a revolutionary perspective, according to which classical economics is eliminated in favour of neuroeconomics, and to a classical economic perspective, according to which economics is insulated from facts about psychology and neuroscience. We argue that, like other mechanistic sciences, neuroeconomics will earn its keep to the extent that it either reconfigures how economists think about decision-making or how neuroscientists think about brain mechanisms underlying behaviour. We discuss some ways that the search for mechanisms can bring about such top-down and bottom-up revision, and we consider some examples from the recent neuroeconomics literature of how varieties of progress of this sort might be achieved
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David Michael Kaplan & Carl F. Craver (2011). The Explanatory Force of Dynamical and Mathematical Models in Neuroscience: A Mechanistic Perspective. Philosophy of Science 78 (4):601-627.
Roberto Fumagalli (2011). On the Neural Enrichment of Economic Models: Tractability, Trade-Offs and Multiple Levels of Description. Biology and Philosophy 26 (5):617-635.
Roberto Fumagalli (2010). The Disunity of Neuroeconomics: A Methodological Appraisal. Journal of Economic Methodology 17 (2):119-131.
Michiru Nagatsu (2013). Experimental Philosophy of Economics. Economics and Philosophy 29 (2):263-76.
Jack Vromen (2010). On the Surprising Finding That Expected Utility is Literally Computed in the Brain. Journal of Economic Methodology 17 (1):17-36.
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