Topics in Cognitive Science 7 (2):287-298 (2015)

Authors
Michiel Van Lambalgen
University of Amsterdam
Abstract
We sketch four applications of Marr's levels-of-analysis methodology to the relations between logic and experimental data in the cognitive neuroscience of language and reasoning. The first part of the paper illustrates the explanatory power of computational level theories based on logic. We show that a Bayesian treatment of the suppression task in reasoning with conditionals is ruled out by EEG data, supporting instead an analysis based on defeasible logic. Further, we describe how results from an EEG study on temporal prepositions can be reanalyzed using formal semantics, addressing a potential confound. The second part of the article demonstrates the predictive power of logical theories drawing on EEG data on processing progressive constructions and on behavioral data on conditional reasoning in people with autism. Logical theories can constrain processing hypotheses all the way down to neurophysiology, and conversely neuroscience data can guide the selection of alternative computational level models of cognition
Keywords EEG  Reasoning  Language  Semantics  Logic  Cognitive neuroscience
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DOI 10.1111/tops.12125
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References found in this work BETA

Free-Energy and the Brain.Karl J. Friston & Klaas E. Stephan - 2007 - Synthese 159 (3):417 - 458.
Autism as an Executive Disorder.James Russell (ed.) - 1997 - Oxford University Press UK.
The Proper Treatment of Events.Michiel van Lambalgen & Fritz Hamm - 2006 - Bulletin of Symbolic Logic 12 (1):139-141.

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Citations of this work BETA

Kripkeans of the World, Unite!Farjana Islam & Giosuè Baggio - 2020 - Journal of Semantics 37 (2):297-309.

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