A Computational Model of Context‐Dependent Encodings During Category Learning-Reference-Cited by-同舟云学术

A Computational Model of Context‐Dependent Encodings During Category Learning

Published:2022-04 Issue:4 Volume:46 Page:
ISSN:0364-0213
Container-title:Cognitive Science
language:en
Short-container-title:Cognitive Science

Author:

Carvalho Paulo F.¹,Goldstone Robert L.²

Affiliation:

1. Human–Computer Interaction Institute Carnegie Mellon University

2. Department of Psychological and Brain Sciences, Cognitive Science Program Indiana University

Publisher

Wiley

Subject

Artificial Intelligence,Cognitive Neuroscience,Experimental and Cognitive Psychology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cogs.13128

Reference69 articles.

1. Aha D. W. &Goldstone R. L.(1992).Concept learning and flexible weighting.Proceedings of the Fourteenth Annual Conference of the Cognitive Science Society 534–539.

2. ACT-R: A Theory of Higher Level Cognition and Its Relation to Visual Attention

3. Relations between Prototype, Exemplar, and Decision Bound Models of Categorization

4. COVIS

5. PROTOS: AN EXEMPLAR-BASED LEARNING APPRENTICE11Based on a paper presented at the Second AAAI Workshop on Knowledge Acquisition for Knowledge-based Systems, Banff, October 1987. Reprinted with permission from Academic Press, Ltd. from Bareiss, et al., International Journal of Man-Machine Studies 29(5) pp. 549–561, 1988.

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