Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Robert M. Nosofsky"'
Publikováno v:
Cognitive Research, Vol 4, Iss 1, Pp 1-17 (2019)
Abstract Background Most science categories are hierarchically organized, with various high-level divisions comprising numerous subtypes. If we suppose that one’s goal is to teach students to classify at the high level, past research has provided m
Externí odkaz:
https://doaj.org/article/93d307f1760f44a1bbfd256d9aa70c07
Autor:
Robert M. Nosofsky, Mingjia Hu
Publikováno v:
Journal of Experimental Psychology: Learning, Memory, and Cognition. 48:1947-1969
In a novel version of the classic dot-pattern prototype-distortion paradigm of category learning, Homa et al. (2019) tested a condition in which individual training instances never repeated, and observed results that they claimed severely challenged
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::177cfe255e0ea4145aa7bf31bd867389
https://doi.org/10.1037/xlm0001008
https://doi.org/10.1037/xlm0001008
Autor:
Robert M. Nosofsky, Mingjia Hu
Publikováno v:
Memory & Cognition. 51:915-929
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c6a0f102e5b090f65896d4eb6254983
https://doi.org/10.3758/s13421-022-01365-4
https://doi.org/10.3758/s13421-022-01365-4
Autor:
Robert M. Nosofsky, Mingjia Hu
Publikováno v:
Computational Brain & Behavior. 5:435-466
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::534db28e5c731ec07742eaf74e516297
https://doi.org/10.1007/s42113-022-00151-4
https://doi.org/10.1007/s42113-022-00151-4
Publikováno v:
Cognitive Science. 47
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fa9fe9baa8ec0d6550efe952d038edb
https://doi.org/10.1111/cogs.13235
https://doi.org/10.1111/cogs.13235
Publikováno v:
Journal of Experimental Psychology: Applied. 26:40-60
Category learning is a core component of course curricula in science education. For instance, geology courses teach categorization of rock types. Using the educationally authentic rock categories, the current project examined whether category learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e8335ffdc5940fe3cc4c82b7281c220
https://doi.org/10.1037/xap0000240
https://doi.org/10.1037/xap0000240
Autor:
Craig A. Sanders, Robert M. Nosofsky
Publikováno v:
Computational Brain & Behavior. 3:229-251
Many successful formal models of human categorization have been developed, but these models have been tested almost exclusively using artificial categories, because deriving psychological representations of large sets of natural stimuli using traditi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4fe77dd41c21251106956bc6cb117f9
https://doi.org/10.1007/s42113-020-00073-z
https://doi.org/10.1007/s42113-020-00073-z
Publikováno v:
Journal of experimental psychology. Applied. 28(2)
Teaching natural-science categories is highly challenging because the objects in such categories are composed of numerous complex dimensions that need to be perceived, evaluated, and integrated. Furthermore, the boundaries separating such categories
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47a301cc6551e20110d7915161ee270d
https://pubmed.ncbi.nlm.nih.gov/34110857
https://pubmed.ncbi.nlm.nih.gov/34110857
Publikováno v:
Psychological Science. 30:1403-1409
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2fa43703ae06cd8a2b5126e0023daec
https://doi.org/10.1177/0956797619841264
https://doi.org/10.1177/0956797619841264
Publikováno v:
Computational Brain & Behavior. 3:13-33
An important goal in cognitive and mathematical psychology is to scale up the application of computational models of human classification learning to real-world, naturalistic domains. Application of the models, however, requires the derivation of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::437cdedf2ef35f79b4c114d2e7bd86c7
https://doi.org/10.1007/s42113-019-00033-2
https://doi.org/10.1007/s42113-019-00033-2