Encyclopedia of Evolutionary Psychological Science

Living Edition
| Editors: Todd K. Shackelford, Viviana A. Weekes-Shackelford

Nonhuman Intelligence

  • Jennifer VonkEmail author
Living reference work entry
DOI: https://doi.org/10.1007/978-3-319-16999-6_3110-1



Intelligence in animals can be defined in terms of problem-solving ability, both acquisition to solve problems and the ability to generalize what is learned to novel situations. Intelligence may also be measured in terms of behavioral flexibility, which is comprised of inhibition and innovation components and which concerns adaptability to new and changing environments.


Two main categories of inquiry derive from the central topic of nonhuman intelligence. The first category entails questions regarding species differences. Are some species of animals considered more intelligent than others? If so, which species are considered most intelligent? These questions should lead one to ponder whether it is fair to compare different species on the same tasks. The second category entails individual differences. Do individuals within a species vary in their intelligence,...


Reversal Learning Giant Panda Behavioral Flexibility Cognitive Complexity Intelligent Behavior 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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  1. Benson-Amram, S., Dantzer, B., Stricker, G., Swanson, E. M., & Holekamp, K. E. (2016). Brain size predicts problem-solving ability in mammalian carnivores. Proceedings of the National Academy of Sciences of the United States of America, 113, 2532–2537.CrossRefPubMedPubMedCentralGoogle Scholar
  2. Bovet, D., & Vauclair, J. (2001). Judgment of conceptual identity in monkeys. Psychonomic Bulletin & Review, 8, 470–475.CrossRefGoogle Scholar
  3. Bovet, D., & Washburn, D. A. (2003). Rhesus macaques (macaca mulatta) categorize unknown conspecifics according to their dominance relations. Journal of Comparative Psychology, 117, 400–405.CrossRefPubMedGoogle Scholar
  4. Byrne, R. W. (1997). The technical intelligence hypothesis: An additional evolutionary stimulus to intelligence? In Machiavellian intelligence II: Extensions and evaluations (pp. 289–311). New York: Cambridge University Press.CrossRefGoogle Scholar
  5. Carruthers, P. (2014). Evolution of working memory. In In the light of evolution: Volume VII: The human mental machinery (pp. 75–94). Washington, DC: National Academies Press.Google Scholar
  6. Darwin, C. (1898). The descent of man and selection in relation to sex (2nd ed., Vol. 1). London: John Murray.Google Scholar
  7. Gardner, H. (2011). The theory of multiple intelligences. In Psychology and the real world: Essays illustrating fundamental contributions to society (pp. 122–130). New York: Worth Publishers.Google Scholar
  8. Groth-Marnat, G., Gallagher, R. E., Hale, J. B., & Kaplan, E. (2000). The Weschler intelligence scales. In Neuropsychological assessment in clinical practice: A guide to test interpretation and integration (pp. 129–194). Hoboken: Wiley.Google Scholar
  9. Hampshire, A., Highfield, R. R., Parkin, B. L., & Owen, A. M. (2012). Fractionating human intelligence. Neuron, 76, 1225–1237.CrossRefPubMedGoogle Scholar
  10. Harlow, H. F. (1943). Solution by rhesus monkeys of a problem involving the Weigl principle using the matching-from-sample method. Journal of Comparative Psychology, 36, 217–227.CrossRefGoogle Scholar
  11. Herrmann, E., Hernández-Lloreda, M. V., Call, J., Hare, B., & Tomasello, M. (2010). The structure of individual differences in the cognitive abilities of children and chimpanzees. Psychological Science, 21, 102–110.CrossRefPubMedGoogle Scholar
  12. Holloway, C. M. (1969). The effects of response bias in two-alternative-forced-choice discrimination matrices. Behavior Research Methods & Instrumentation, 1, 175–178.CrossRefGoogle Scholar
  13. Humphrey, N. (1976). The social function of intellect. In P. P. G. Bateson & R. A. Hinde (Eds.), Growing points in ethology (pp. 303–317). Cambridge: Cambridge University Press.Google Scholar
  14. Jolly, A. (1966). Lemur social behavior and primate intelligence. Science, 153, 501–506.CrossRefPubMedGoogle Scholar
  15. Lefebvre, L., Reader, S. M., & Sol, D. (2013). Innovating innovation rate and its relationship with brains, ecology and general intelligence. Brain, Behavior and Evolution, 81, 143–145.CrossRefPubMedGoogle Scholar
  16. MacLean, E. L., Hare, B., Nunn, C. L., Addessi, E., Amici, F., Anderson, R. C., …, & Zhao, Y. (2014). The evolution of self-control. Proceedings of the National Academy of Sciences of the United States of America, 111, E2140–E2148.Google Scholar
  17. Novick, L. R., Shade, C. K., & Catley, K. M. (2011). Linear versus branching depictions of evolutionary history: Implications for diagram design. Topics in Cognitive Science, 3, 536–559.CrossRefPubMedGoogle Scholar
  18. Perdue, B. M., Snyder, R. J., Pratte, J., Marr, M. J., & Maple, T. L. (2009). Spatial memory recall in the giant panda (ailuropoda melanoleuca). Journal of Comparative Psychology, 123, 275–279.CrossRefPubMedGoogle Scholar
  19. Roberts, A. C. (1996). Comparison of cognitive function in human and non-human primates. Cognitive Brain Research, 3, 319–327.CrossRefPubMedGoogle Scholar
  20. Roid, G. H. (2003). Stanford-Binet intelligence scales (5th ed.). Itasca: Riverside.Google Scholar
  21. Romanes, G. J. (1882). Animal intelligence. London: Kegan Paul, Trench & Co.Google Scholar
  22. Shettleworth, S. J. (1998). Cognition, evolution and behavior. New York: Oxford University Press.Google Scholar
  23. Sol, D. (2009). Revisiting the cognitive buffer hypothesis for the evolution of large brains. Biology Letters, 5, 130–133.CrossRefPubMedGoogle Scholar
  24. Sol, D., Duncan, R. P., Blackburn, T. M., Cassey, P., & Lefebvre, L. (2005). Big brains, enhanced cognition, and response of birds to novel environments. Proceedings of the National Academy of Sciences of the United States of America, 102, 5460–5465.CrossRefPubMedPubMedCentralGoogle Scholar
  25. Spearman, C. (1961). “General intelligence” objectively determined and measured. East Norwalk: Appleton.CrossRefGoogle Scholar
  26. Sternberg, R. J. (2012). The triarchic theory of successful intelligence. New York: Guilford Press.Google Scholar
  27. Vonk, J. (2003). Gorilla (Gorilla gorilla gorilla) and Orangutan (Pongo abelii) understanding of first and second order relations. Animal Cognition, 6, 77–86.CrossRefPubMedGoogle Scholar
  28. Vonk, J. (2016). Bigger brains may make better problem-solving carnivores. Learning and Behavior, 44, 99–100.CrossRefPubMedGoogle Scholar
  29. Vonk, J., & Povinelli, D. J. (2006). Similarity and difference in the conceptual systems of primates: The unobservability hypothesis. In E. Wasserman & T. Zentall (Eds.), Oxford handbook of comparative cognition: Experimental explorations of animal intelligence (pp. 363–387). Oxford: Oxford University Press.Google Scholar
  30. Vonk, J., & Povinelli, D. J. (2010). Animal intelligence. In R. J. Corsini (Ed.), Encyclopedia of psychology (4th ed.). Washington, DC: Wiley Publishers.Google Scholar
  31. Vonk, J., & Povinelli, D. (2011). Individual differences in long-term cognitive testing in a group of captive chimpanzees. International Journal of Comparative Psychology, 24, 137–167.Google Scholar

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© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Oakland UniversityRochesterUSA