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The Construction of Perceptual and Semantic Features During Category Learning
- Publication Year :
- 2017
- Publisher :
- Elsevier, 2017.
-
Abstract
- Category learning not only depends upon perceptual and semantic representations; it also leads to the generation of these representations. We describe two series of experiments that demonstrate how categorization experience alters, rather than simply uses, descriptions of objects. In the first series, participants first learned to categorize objects on the basis of particular sets of line segments. Subsequently, participants were given a perceptual part/whole judgment task. Categorization training influenced participants’ part/whole judgments, indicating that whole objects were more likely to be broken down into parts that were relevant during categorization. In the second series, correlations were created or broken between semantic features of word concepts (e.g., ferocious vs. timid and group-oriented vs. solitary animals). The best transfer was found between category learning tasks that shared the same semantic organization of concepts. Together, the experiments support models of category learning that simultaneously create the elements of categorized objects’ descriptions and associate those elements with categories.
- Subjects :
- Basis (linear algebra)
Computer science
business.industry
media_common.quotation_subject
05 social sciences
Semantics
computer.software_genre
050105 experimental psychology
Task (project management)
03 medical and health sciences
0302 clinical medicine
Line segment
Categorization
Concept learning
Perception
0501 psychology and cognitive sciences
Artificial intelligence
business
computer
030217 neurology & neurosurgery
Natural language processing
Word (group theory)
media_common
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi...........4594540709381f6abc72b15c64f48044
- Full Text :
- https://doi.org/10.1016/b978-0-08-101107-2.00034-8