Literature DB >> 30915666

Empiricism, sciences, and engineering: cognitive science as a zone of integration.

Don Ross1,2,3.   

Abstract

An article by Alexandra Kirsch accepted for publication in Cognitive Processing occasioned debate among reviewers about broad methodological issues in cognitive science. One of these issues is the proper place of Popperian falsificationism in the interdisciplinary cluster. Another is the tension between abstract models and theories that apply to wide classes of cognitive systems, and models of more restricted scope intended to predict specifically human patterns of thought and behavior. The lead editorial in a Commentary debate invited by the journal's editors considers these issues from the perspective of a pragmatist philosophy of science inspired by Herbert Simon's classic (The sciences of the artificial (2nd edition 1981; 3rd edition 1996), MIT Press, Cambridge, 1969) reflections on the blurring of the distinction between science and engineering in cognitive science.

Entities:  

Keywords:  Cognitive heuristics; Cognitive modeling; Cognitive science methodology; Falsificationism; Science versus engineering

Mesh:

Year:  2019        PMID: 30915666     DOI: 10.1007/s10339-019-00916-z

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


  2 in total

1.  Control of octopus arm extension by a peripheral motor program.

Authors:  G Sumbre; Y Gutfreund; G Fiorito; T Flash; B Hochner
Journal:  Science       Date:  2001-09-07       Impact factor: 47.728

2.  A unifying computational model of decision making.

Authors:  Alexandra Kirsch
Journal:  Cogn Process       Date:  2019-01-30
  2 in total
  2 in total

1.  Empirical content as a criterion for evaluating models.

Authors:  Marc Jekel
Journal:  Cogn Process       Date:  2019-03-20

2.  Kirsch's, and everyone's, bind: How to build models for the wild?

Authors:  Konstantinos Katsikopoulos
Journal:  Cogn Process       Date:  2019-03-23
  2 in total

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