Synthese 192 (1):43-66 (2015)
Abstract |
In the literature on dynamical models in cognitive science, two issues have recently caused controversy. First, what is the relation between dynamical and mechanistic models? I will argue that dynamical models can be upgraded to be mechanistic as well, and that there are mechanistic and non-mechanistic dynamical models. Second, there is the issue of explanatory power. Since it is uncontested the mechanistic models can explain, I will focus on the non-mechanistic variety of dynamical models. It is often claimed by proponents of mechanistic explanations that such models do not really explain cognitive phenomena . I will argue against this view. Although I agree that the three arguments usually offered to vindicate the explanatory power of non-mechanistic dynamical models are not enough, I consider a fourth argument, namely that such models provide understanding. The Voss strong anticipation model is used to illustrate this
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Keywords | Dynamical cognitive science Dynamical models Mechanism Explanation Understanding Strong anticipation |
Categories | (categorize this paper) |
DOI | 10.1007/s11229-014-0548-5 |
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References found in this work BETA
The Structure of Scientific Revolutions.Thomas Samuel Kuhn - 1962 - Chicago: University of Chicago Press.
Scientific Explanation and the Causal Structure of the World.Wesley C. Salmon - 1984 - Princeton University Press.
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Citations of this work BETA
Dynamical Systems Theory in Cognitive Science and Neuroscience.Luis H. Favela - 2020 - Philosophy Compass 15 (8).
Rethinking the Explanatory Power of Dynamical Models in Cognitive Science.Dingmar van Eck - 2018 - Philosophical Psychology 31 (8):1131-1161.
A Cautionary Contribution to the Philosophy of Explanation in the Cognitive Neurosciences.A. Venturelli - 2016 - Minds and Machines 26 (3):259-285.
In Defense of Best-Explanation Debunking Arguments in Moral Philosophy.Jonathon Hricko & Derek Leben - 2018 - Review of Philosophy and Psychology 9 (1):143-160.
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