The DOI matches its Crossref record.
Cognition, Evolution, and Behavior
Abstract
How do animals perceive the world, learn, remember, search for food or mates, communicate, and find their way around? Do any nonhuman animals count, imitate one another, use a language, or have a culture? What are the uses of cognition in nature and how might it have evolved? What is the current status of Darwin’s claim that other species share the same “mental powers” as humans, but to different degrees? In this completely revised second edition of Cognition, Evolution, and Behavior, Sara Shettleworth addresses these questions, among others, by integrating findings from psychology, behavioral ecology, and ethology in a unique and wide-ranging synthesis of theory and research on animal cognition, in the broadest sense--from species-specific adaptations of vision in fish and associative learning in rats to discussions of theory of mind in chimpanzees, dogs, and ravens. She reviews the latest research on topics such as episodic memory, metacognition, and cooperation and other-regarding behavior in animals, as well as recent theories about what makes human cognition unique. In every part of this new edition, Shettleworth incorporates findings and theoretical approaches that have emerged since the first edition was published in 1998. The chapters are now organized into three sections: Fundamental Mechanisms (perception, learning, categorization, memory), Physical Cognition (space, time, number, physical causation), and Social Cognition (social knowledge, social learning, communic…
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Teleological explanation is a common strategy in making sense of biological systems, manifest in computational-level (10) and rational (12) analysis in cognitive science and adaptationist explanations in evolutionary biology (17, 18) and evolutionary psychology (12).”
From Embers of autoregression show how large language models are shaped by the problem they are trained to solve (2024) · cites this paper as [18]
Citations
Cited by
Sorted by citations
The evolution of self-control.
MacLean, E. L., Hare, B., Nunn, C. L., Addessi, E., Amici, F., Anderson, R. C., Aureli, F., Baker, J. M., Bania, A. E., Barnard, A. M., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1323533111 · Cited by 819
Transfer of metacognitive skills and hint seeking in monkeys
Kornell, N., Son, L. K., & Terrace, H. S. (2007) · Psychological Science · doi:10.1111/j.1467-9280.2007.01850.x · Cited by 341
Ravens parallel great apes in flexible planning for tool-use and bartering
Kabadayi, C., & Osvath, M. (2017) · Science · doi:10.1126/science.aam8138 · Cited by 287
Operant variability: Evidence, functions, and theory
Neuringer, A. (2002) · Psychonomic Bulletin & Review · doi:10.3758/bf03196324 · Cited by 272
How does cognition evolve? Phylogenetic comparative psychology
MacLean, E. L., Matthews, L. J., Hare, B. A., Nunn, C. L., Anderson, R. C., Aureli, F., Brannon, E. M., Call, J., Drea, C. M., Emery, N. J., et al. (2012) · Animal Cognition · doi:10.1007/s10071-011-0448-8 · Cited by 260
Boogert, N. J., Anderson, R. C., Peters, S., Searcy, W. A., & Nowicki, S. (2011) · Animal Behaviour · doi:10.1016/j.anbehav.2011.03.004 · Cited by 221
Associative learning and animal cognition
Dickinson, A. (2012) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2012.0220 · Cited by 219
Embodied cognitive evolution and the cerebellum
Barton, R. A. (2012) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2012.0112 · Cited by 210
Forms of prediction in the nervous system
Teufel, C., & Fletcher, P. C. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-020-0275-5 · Cited by 155
The brain's connective core and its role in animal cognition
Shanahan, M. (2012) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2012.0128 · Cited by 115
Carruthers, P. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1301195110 · Cited by 110
McCoy, R. T., Yao, S., Friedman, D., Hardy, M. D., & Griffiths, T. L. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2322420121 · Cited by 96
Therapy Dog Welfare Revisited: A Review of the Literature
Glenk, L. M., & Foltin, S. (2021) · Veterinary Sciences · doi:10.3390/vetsci8100226 · Cited by 71
Wild Orangutan Males Plan and Communicate Their Travel Direction One Day in Advance
van Schaik, C. P., Damerius, L., & Isler, K. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074896 · Cited by 68
van Schaik, C. P., Triki, Z., Bshary, R., & Heldstab, S. A. (2021) · Brain, Behavior and Evolution · doi:10.1159/000517013 · Cited by 64
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
Phylogenetic origins of biological cognition: convergent patterns in the early evolution of learning
van Duijn, M. (2017) · Interface Focus · doi:10.1098/rsfs.2016.0158 · Cited by 60
A Modular Mind? A Test Using Individual Data from Seven Primate Species
Amici, F., Barney, B., Johnson, V. E., Call, J., & Aureli, F. (2012) · PLoS ONE · doi:10.1371/journal.pone.0051918 · Cited by 56
Fujita, K., Morisaki, A., Takaoka, A., Maeda, T., & Hori, Y. (2012) · Animal Cognition · doi:10.1007/s10071-012-0529-3 · Cited by 46
Presotto, A., Fayrer-Hosken, R., Curry, C., & Madden, M. (2019) · Animal Cognition · doi:10.1007/s10071-019-01242-9 · Cited by 33
An Analysis of a Ring Attractor Model for Cue Integration
Sun, X., Mangan, M., & Yue, S. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-95972-6_49 · Cited by 27
A Computability Argument Against Superintelligence
Wiedermann, J. (2012) · Cognitive Computation · doi:10.1007/s12559-012-9124-9 · Cited by 12
Can Asian Elephants Use Water as a Tool in the Floating Object Task?
Barrett, L. P., & Benson-Amram, S. (2020) · Animal Behavior and Cognition · doi:10.26451/abc.07.03.04.2020 · Cited by 11
The role of quantum mechanics in cognition-based evolution
Marshall, P. (2023) · Progress in Biophysics and Molecular Biology · doi:10.1016/j.pbiomolbio.2023.04.007 · Cited by 11
Testing two competing hypotheses for Eurasian jays’ caching for the future
Amodio, P., Brea, J., Farrar, B. G., Ostojić, L., & Clayton, N. S. (2021) · Scientific Reports · doi:10.1038/s41598-020-80515-7 · Cited by 10
Beyond replication: the quantification of route models in the north jazira, iraq
de Gruchy, M. W. (2016) · Journal of Archaeological Method and Theory · doi:10.1007/s10816-015-9247-x · Cited by 7
Arain, M., Parameswaran, V., & Cohen, J. (2012) · Animal Cognition · doi:10.1007/s10071-012-0501-2 · Cited by 5
Metadata
- Authors
- Shettleworth, S. J.
- Corresponding author
- Shettleworth, Sara J
- Publisher
- Oxford University PressNew York, NY
- Published
- 2009-12-30
- OpenAlex
- W4388250822
- Cited by
- 1,453
- References
- 0
- Citations by year
- 2026: 37 · 2025: 120 · 2024: 78 · 2023: 95 · 2022: 104 · 2021: 102 · 2020: 81 · 2019: 74 · 2018: 84 · 2017: 89 · 2016: 75 · 2015: 54 · 2014: 53 · 2013: 58 · 2012: 62
- FWCI
- 69.51
- Type
- book
- Language
- en
- Open access
- closed
- Topics
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Primate Behavior and Ecology
- Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Animal Behavior and Reproduction
- Keywords
- animal cognition, cognitive evolution, perception, learning, memory, episodic memory, metacognition, theory of mind, numerical cognition, physical cognition, social cognition, social learning, animal communication, tool use, instrumental behavior, foraging, brain evolution, human uniqueness, imitation, evolution of behavior
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review