The DOI matches its Crossref record; 119 of the 126 references it cites were found in a registry or an index.
Basing Categorization on Individuals and Events
Abstract
Exemplar, prototype, and connectionist models typically assume that events constitute the basic unit of learning and representation in categorization. In these models, each learning events updates a statistical representation of a category independently of other learning events. An implication is that events involving the same individual affect learning independently and are not integrated into a single structure that represents the individual in an internal model of the world. A series of experiments demonstrates that human subjects track individuals across events, establish representations of them, and use these representations in categorization. These findings are consistent with "representationalism," the view that an internal model of the world constitutes a physical level of representation in the brain, and that the brain does not simply capture the statistical properties of events in an undifferentiated dynamical system. Although categorization is an inherently statistical process that produces generalization, pattern completion, frequency effects, and adaptive learning, it is also an inherently representational process that establishes an internal model of the world. As a result, representational structures evolve in memory to track the histories of individuals, accumulate information about them, and simulate them in events.
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“Thus, human categorization maybe more sensitive to ty pe frequencythan to simple token frequency.”
From FREQUENCY EFFECTS IN LANGUAGE PROCESSING: A Review with Implications for Theories of Implicit and Explicit Language Acquisition (2002) · cites this paper as Barsalou, Huttenlocher, and Lamberts, 1998
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Cites
Statistical principles in experimental design.
Winer, B. J. (1962) · McGraw-Hill Book Company · doi:10.1037/11774-000 · Cited by 27,137
Judgment under Uncertainty: Heuristics and Biases
Tversky, A., & Kahneman, D. (1975) · Utility, Probability, and Human Decision Making · doi:10.1007/978-94-010-1834-0_8 · Cited by 22,650
Availability: A heuristic for judging frequency and probability
Tversky, A., & Kahneman, D. (1973) · Cognitive Psychology · doi:10.1016/0010-0285(73)90033-9 · Cited by 9,984 · cited 1×
“The first intuition reflects the fundamental importance of availability in human cognition (Tversky & Kahneman , 1973).”
BackgroundStatistical Principles in Experimental Design
Myers, J. L., & Winer, B. J. (1964) · The American Journal of Psychology · doi:10.2307/1419292 · Cited by 8,111
REMEMBERING: A STUDY IN EXPERIMENTAL AND SOCIAL PSYCHOLOGY
Bartlett, F. C., & Burt, C. (1933) · British Journal of Educational Psychology · doi:10.1111/j.2044-8279.1933.tb02913.x · Cited by 7,475
Shiffrin, R. M., & Schneider, W. (1977) · Psychological Review · doi:10.1037/0033-295x.84.2.127 · Cited by 7,335
Barsalou, L. W. (1999) · Behavioral and Brain Sciences · doi:10.1017/s0140525x99002149 · Cited by 6,887
Self-citationAxten, N., Newell, A., & Simon, H. A. (1973) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2063712 · Cited by 6,886
Anderson, J. R. (2013) · doi:10.4324/9781315799438 · Cited by 6,761
Implicit social cognition: Attitudes, self-esteem, and stereotypes
Greenwald, A. G., & Banaji, M. R. (1995) · Psychological Review · doi:10.1037/0033-295x.102.1.4 · Cited by 6,682
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- Florian, J. 1992, Frequency effects on categorization and recognition, Proceedings of the 14th annual conference of the Cognitive Science Society,
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25 Final Philosophical Remarks
Auletta, G. (2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199608485.003.0026
Auletta, G. (2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199608485.003.0019
Designing A Hybrid Experience: The Effect of Experience Structure on Consumers' Evaluations
Wang, J. (2016) · Scholarship@Western (Western University)
Type/Token Information in Category Learning and Recognition
Sakamoto, Y., & Love, B. C. (2004) · eScholarship (California Digital Library)
Multiple processes in two-dimensional visual statistical learning
Hoshino, E., & Mogi, K. (2017) · PLoS ONE · doi:10.1371/journal.pone.0172290
Niederman, F., & Lukyanenko, R. (2018) · ACM SIGCPR Conference on Computer Personnel Research (SIGCPR) · doi:10.1145/3209626.3209717
Auletta, G. (2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199608485.003.0016
Auletta, G. (2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199608485.003.0012
Auletta, G. (2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199608485.003.0018
Auletta, G. (2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199608485.003.0001
Auletta, G. (2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199608485.003.0010
Auletta, G. (2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199608485.003.0024
Auletta, G. (2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199608485.003.0017
Auletta, G. (2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199608485.003.0022
Auletta, G. (2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199608485.003.0005
Auletta, G. (2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199608485.003.0013
Auletta, G. (2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199608485.003.0011
(2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199608485.002.0003
(2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199608485.002.0006
(2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199608485.002.0009
(2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199608485.002.0004
(2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199608485.002.0007
(2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199608485.002.0005
Taktak-Kallel, I. (2023) · Marché et organisations · doi:10.3917/maorg.046.0097
WITHDRAWNPreprint
Reichelt, M., & Müller, C. (2024) · SocArXiv (OSF Preprints) · doi:10.31235/osf.io/j3yat
Uncovering bilingual memory representations
Goh, W. D., Suárez, L., & Yeo, K. (2013) · Cambridge University Press eBooks · doi:10.1017/cbo9781139084642.034
Metadata
- Authors
- Barsalou, L. W., Huttenlocher, J., & Lamberts, K.
- Affiliations
- Emory University (US)
- University of Chicago (US)
- University of Birmingham (GB)
- Venue
- Cognitive Psychology
- Publisher
- Elsevier BV
- Published
- 1998-08
- Volume
- 36
- Issue
- 3
- Pages
- 203-272
- ISSN
- 0010-0285 (ISSN-L)
- OpenAlex
- W2155670932
- Cited by
- 131
- References
- 126
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 4 · 2023: 2 · 2022: 2 · 2021: 1 · 2020: 3 · 2019: 3 · 2018: 6 · 2017: 4 · 2016: 5 · 2015: 1 · 2014: 3 · 2013: 3 · 2012: 4
- FWCI
- 6.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Cognitive Psychology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Categorization, perception, and language
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Life Sciences › Neuroscience › Cognitive Neuroscience › Cognitive Science and Education Research
- Keywords
- categorization, individual tracking, event-based learning, representationalism, prototype theory, exemplar theory, connectionist models, statistical learning, memory representation, generalization
- MeSH terms
- Humans, Learning, Models, Psychological
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