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Methods in Cognitive Science

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... for economic theories) Information processing in the modern world Productivity enhancement Interfaces & expert systems Methods in Cognitive Science Each field ... – PowerPoint PPT presentation

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Title: Methods in Cognitive Science


1
Methods in Cognitive Science
  • Each field can be distinguished by the types of
    methods it uses to address the questions of
    Cognition.
  • Methods may seem secondary to theories but they
    are at least equivalent in importance with
    respect to the progress of science.

2
Psychology
  • Experimentation
  • Controlled lab studies
  • Naturalistic observation
  • Examples
  • Learning recall rate (e.g., cramming vs. spaced
    studying)
  • Rotating mental images
  • Chunking of information

3
Linguistics
  • Establish grammars of languages
  • Test grammaticality intuitions
  • Explore large linguistic corpora for data on
    acquisition of syntactic rules
  • Observe patterns of speech errors
  • Look across languages for common patterns

4
Neuroscience
  • Use animals to explore basic mechanism of
    information processing and localization of
    function
  • Use PET, MRI, or other techniques to view brain
    activity in humans as they process information
  • Study individuals with brain damage

5
Computer Science
  • Build computational models based on psychological
    or neurological theories and evaluate their
    computational viability
  • Compare different types of algorithms (software)
    as well as different hardware implementations to
    human performance

6
Philosophy
  • Analyze the coherence of explanatory systems
  • Internal logic of theories
  • Raise potential difficulties and consequences of
    specific approaches
  • e.g., neuroscience ? reductionism
  • info. processing ? thought

7
Why is studying the mind important?
  • Scientifically challenging
  • Improving education
  • Predicting human behavior (e.g., for economic
    theories)
  • Information processing in the modern world
  • Productivity enhancement
  • Interfaces expert systems
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