Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2025 Jun 26;380(1929):20240116.
doi: 10.1098/rstb.2024.0116. Epub 2025 Jun 26.

Sequences and animal intelligence

Affiliations
Review

Sequences and animal intelligence

Johan Lind et al. Philos Trans R Soc Lond B Biol Sci. .

Abstract

Here, we explore some cognitive mechanisms that support and constrain sequential abilities in non-human animals (hereafter animals). By examining limits in memory for stimulus sequences and how behaviour sequences can be learned, we highlight the combinatorial costs that arise as sequences get increasingly longer, which may hinder the development of cognitive abilities that require faithful representation of sequences, like language. We discuss a trace memory model as a framework for understanding how animals represent stimulus sequences and suggest that animals represent sequences as unstructured collections of decaying memory traces rather than representing order faithfully. The implications of this model challenge traditional interpretations of declarative and rule-based learning in animals. In addition, we explore associative learning models that can account for how animals acquire behaviour sequences without precise memory of stimulus sequences. Current models have proven powerful in accounting for complex behaviour sequences. We end by asking what the value is of anthropocentric models in the study of animal intelligence, if other models provide more accurate predictions of animal behaviour.This article is part of the Theo Murphy meeting issue 'Selection shapes diverse animal minds'.

Keywords: animal cognition; associative learning; behaviour sequence; memory for stimulus sequence; sequential behaviour.

PubMed Disclaimer

Conflict of interest statement

We declare we have no competing interests.

Figures

Illustrations of the different sequential aspects of behavior and cognition explored in this manuscript
Figure 1.
Illustrations of the different sequential aspects of behaviour and cognition explored in this article. (a) We consider an animal and its environment as two interacting dynamical systems, where state variables in the animal determine probabilities for its behaviours, that is the animal’s output. Each behaviour, in turn, puts the environment in a state determining an output stimulus. (b) We are interested in sequences of stimuli, that is temporal sequences of more than one stimulus. We will not discuss single events, or simultaneous presentations of more than one stimulus, such as compound stimuli. (c) When discussing output sequences, we consider sequences in the form where the animal is subjected to a stimulus, for example A, and performs a behaviour, for example R1, in response, and so on, to at least two distinctly identifiable behaviours being performed.

Similar articles

Cited by

  • Selection shapes diverse animal minds.
    Leadbeater E, Thornton A. Leadbeater E, et al. Philos Trans R Soc Lond B Biol Sci. 2025 Jun 26;380(1929):20240108. doi: 10.1098/rstb.2024.0108. Epub 2025 Jun 26. Philos Trans R Soc Lond B Biol Sci. 2025. PMID: 40566907 Free PMC article.

References

    1. Weisman RG, Wasserman EA, Dodd PW, Larew MB. 1980. Representation and retention of two-event sequences in pigeons. J. Exp. Psychol. 6, 312–325. ( 10.1037/0097-7403.6.4.312) - DOI
    1. Inoue-Nakamura N, Matsuzawa T. 1997. Development of stone tool use by wild chimpanzees (Pan troglodytes). J. Comp. Psychol. 11, 159–173. ( 10.1037/0735-7036.111.2.159) - DOI - PubMed
    1. Dall SRX, Cuthill IC. 1997. The information costs of generalism. Oikos 80, 197–202. ( 10.2307/3546535) - DOI
    1. Johnston TD. 1982. Selective costs and benefits in the evolution of learning. In Advances in the study of behavior (eds Rosenblatt JS, Hinde RA, Beer C, Busnel MC), pp. 65–106, vol. 12. New York, NY: Elsevier. ( 10.1016/S0065-3454(08)60046-7) - DOI
    1. Keogh E, Mueen A. 2010. Curse of dimensionality. In Encyclopeida of machine learning (eds Sammut C, Webb GI), pp. 257–258. Boston, MA: Springer.

Grants and funding

LinkOut - more resources