Document Detail


Are there reasons to challenge a symbolic computationalist approach in explaining deductive reasoning?
MedLine Citation:
PMID:  18196355     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The majority of the existing theories explaining deductive reasoning could be included in a classic computationalist approach of the cognitive processes. In fact, deductive reasoning could be seen to be the pinnacle of the symbolic computationalism, its last fortress to be defended in the face of new, dynamic, and ecological perspectives over cognition. But are there weak points in that position regarding deductive reasoning? What would be the reasons for which new perspectives could gain in credibility? What could be their most important tenets? The answers given to those questions in the paper include two main points. The first one is that the present empirical data could not sustain unambiguously one view over the other, that they are obtained in artificial experimental conditions, and that there are data that are not easily explainable using the traditional computationalist paradigm. The second one is that approaching the deductive reasoning from dynamic and ecological perspectives could have significant advantages. The most obvious one is the possibility to integrate more easily the research regarding the deductive reasoning with the results obtained in other domains of the psychology (especially in what respects the lower cognitive processes), in artificial intelligence or in neurophysiology. The reasons for that would be that such perspectives, as they are sketched in the paper, would imply, essentially, processes of second-order pattern formation and recognition (as it is the case for perception), embodied cognition, and dynamic processes as the brain ones are.
Authors:
Lucia E Faiciuc
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Publication Detail:
Type:  Journal Article     Date:  2008-01-15
Journal Detail:
Title:  Integrative psychological & behavioral science     Volume:  42     ISSN:  1932-4502     ISO Abbreviation:  -     Publication Date:  2008 Jun 
Date Detail:
Created Date:  2008-06-02     Completed Date:  2008-10-17     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101319534     Medline TA:  Integr Psychol Behav Sci     Country:  United States    
Other Details:
Languages:  eng     Pagination:  212-8     Citation Subset:  IM    
Affiliation:
Department for Social and Human Sciences Research, Romanian Academy, Cluj-Napoca Branch, Cluj-Napoca, Romania. luciafaiciuc@yahoo.com
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MeSH Terms
Descriptor/Qualifier:
Artificial Intelligence
Cognition*
Empirical Research
Humans
Judgment
Linguistics
Models, Psychological*
Neurophysiology
Nonlinear Dynamics*
Psychological Theory
Symbolism*
Thinking*
Comments/Corrections
Comment In:
Integr Psychol Behav Sci. 2008 Jun;42(2):224-32   [PMID:  18210188 ]
Integr Psychol Behav Sci. 2008 Jun;42(2):219-23   [PMID:  18478309 ]

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