Literature DB >> 18810520

Functional role theories of representation and content explanation: with a case study from spatial cognition.

Andreas Bartels1, Mark May.   

Abstract

The aim of this paper is to show that the widespread opinion, according to which functional role theories of representation fail to account for content explanations of human and animal behaviour, cannot be confirmed with respect to each type of functional role theory. Functional resemblance theories (as referred to by O'Brien and Opie in Representation in mind, Elsevier, 2004) allow for content explanations of successfully performed cognitive abilities as much as for explanations of systematic errors resulting from misrepresentation. How functional roles do their explanatory work in actual scientific research examples is shown by a detailed exploration of model assumptions about homing performances based on path integration mechanisms in humans and animals.

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Year:  2008        PMID: 18810520     DOI: 10.1007/s10339-008-0226-y

Source DB:  PubMed          Journal:  Cogn Process        ISSN: 1612-4782


  6 in total

1.  Path integration in desert ants, Cataglyphis fortis.

Authors:  M Müller; R Wehner
Journal:  Proc Natl Acad Sci U S A       Date:  1988-07       Impact factor: 11.205

2.  Path integration while ignoring irrelevant movement.

Authors:  M May; R L Klatzky
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2000-01       Impact factor: 3.051

3.  Nonvisual navigation by blind and sighted: assessment of path integration ability.

Authors:  J M Loomis; R L Klatzky; R G Golledge; J G Cicinelli; J W Pellegrino; P A Fry
Journal:  J Exp Psychol Gen       Date:  1993-03

4.  The dynamics of embodiment: a field theory of infant perseverative reaching.

Authors:  E Thelen; G Schöner; C Scheier; L B Smith
Journal:  Behav Brain Sci       Date:  2001-02       Impact factor: 12.579

5.  Homing in virtual environments: effects of field of view and path layout.

Authors:  P Péruch; M May; F Wartenberg
Journal:  Perception       Date:  1997       Impact factor: 1.490

6.  A statistical explanation of visual space.

Authors:  Zhiyong Yang; Dale Purves
Journal:  Nat Neurosci       Date:  2003-06       Impact factor: 24.884

  6 in total

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