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Causality in the Sciences$
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Phyllis McKay Illari, Federica Russo, and Jon Williamson

Print publication date: 2011

Print ISBN-13: 9780199574131

Published to Oxford Scholarship Online: September 2011

DOI: 10.1093/acprof:oso/9780199574131.001.0001

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Turing machines and causal mechanisms in cognitive science

Turing machines and causal mechanisms in cognitive science

Chapter:
(p.224) 11 Turing machines and causal mechanisms in cognitive science
Source:
Causality in the Sciences
Author(s):

Lappi Otto

Anna‐Mari Rusanen

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199574131.003.0011

A body of recent literature has proposed that explanation in neurosciences, including cognitive neuroscience, is mechanistic. It has also been argued that the mechanistic model could be extended to cover explanations in computer sciences and cognitive sciences. Mechanistic explanation as standardly conceived is a form of causal explanation, and it requires that the explanatory mechanisms are concrete, implemented mechanisms. However, ‘computing mechanisms’ can mean two things. On the one hand, it can refer to concrete — causal — computing mechanisms, such as brains (ex hypothesi) or man‐made computers, etc. On the other hand, it can also refer to abstract computing mechanisms such as abstract Turing machines. Therefore, the notion of computation can be used in cognitive science in at least two ways. Since there are computational explanations, in which Turing machines are considered as abstract mechanisms, the current formulation of mechanistic explanation does not cover those explanations.

Keywords:   concrete and abstract mechanisms, computational mechanisms, mechanistic account of explanation, cognitive science, Turing Machine

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