The DOI matches its Crossref record; 182 of the 182 references it cites were found in a registry or an index.
Numerical competence in animals: Definitional issues, current evidence, and a new research agenda
Abstract
Numerical competence is one of the many aspects of animal cognition that have enjoyed a resurgence of interest during the past decade. Evidence for numerical abilities in animals has followed a tortuous path to respectability, however, from Clever Hans, the counting horse, to modern experimental studies. Recent surveys of the literaturereveal theoretical as well as definitional confusion arising from inconsistent terminology for numerical processes and procedures. The term “counting” has been applied to situations having little to do with its meaning in the human literature. We propose a consistent vocabulary and theoretical framework for evaluating numerical competence. Relative numerousness judgments, subitizing, counting, and estimation may be the essential processes by which animals perform numerical discriminations. Ordinality, cardinality, and transitivity also play an important role in these processes. Our schema is applied to a variety of recent experimental situations. Some evidence of transfer is essential in demonstrating higher-order ability such as counting or “sense of number.” Those instances of numerical competence in which all viable alternatives to counting (e.g., subitizing) have been precluded, but no evidence of transfer has been demonstrated might be described as “protocounting.” To show that animals are capable of “true” counting future research will have to demonstrate generality across situations.
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The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1956) · Psychological Review · doi:10.1037/h0043158 · Cited by 17,812
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1994) · Psychological Review · doi:10.1037/0033-295x.101.2.343 · Cited by 17,161
Johnson-Laird, P. N. (1983) · Cited by 5,190
The Psychology of Learning and Motivation
(2021) · Psychology of Learning and Motivation · doi:10.1016/s0079-7421(21)x0002-3 · Cited by 5,027
The natural regulation of animal numbers
(1972) · Journal of Human Evolution · doi:10.1016/0047-2484(72)90031-0 · Cited by 3,015
Automatic and effortful processes in memory.
Hasher, L., & Zacks, R. T. (1979) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.108.3.356 · Cited by 2,812
Herrnstein, R. J. (1970) · Journal of the Experimental Analysis of Behavior · doi:10.1901/jeab.1970.13-243 · Cited by 2,611
The Dance Language and Orientation of Bees
Frisch, K. V. (1993) · Harvard University Press eBooks · doi:10.4159/harvard.9780674418776 · Cited by 2,563
Information Processing and Cognition: The Loyola Symposium
Brown, A. S., & Solso, R. L. (1976) · The American Journal of Psychology · doi:10.2307/1421430 · Cited by 2,382
A Handbook of Child Psychology
(1934) · Nature · doi:10.1038/133515b0 · Cited by 2,273
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Research on Whole Number Addition and Subtraction
Fuson, K. C. (2006) · Handbook of Research on Mathematics Teaching and Learning · doi:10.1108/978-1-60752-874-620251016 · Cited by 377
Relative quantity judgment by Asian elephants (Elephas maximus)
Irie-Sugimoto, N., Kobayashi, T., Sato, T., & Hasegawa, T. (2009) · Animal Cognition · doi:10.1007/s10071-008-0185-9 · Cited by 86
Arthropod Intelligence? The Case for Portia
Cross, F. R., Carvell, G. E., Jackson, R. R., & Grace, R. C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.568049 · Cited by 59
Beyond modularity: Neural evidence for constructivist principles in development
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Metadata
- Authors
- Davis, H., & Pérusse, R.
- Venue
- Behavioral and Brain Sciences
- Publisher
- Cambridge University Press (CUP)
- Published
- 1988-12
- Volume
- 11
- Issue
- 4
- Pages
- 561-579
- ISSN
- 0140-525X (ISSN-L)
- 1469-1825
- OpenAlex
- W2047221591
- Cited by
- 508
- References
- 182
- FWCI
- 10.96
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.