1
|
Reznikova Z. Information Theory Opens New Dimensions in Experimental Studies of Animal Behaviour and Communication. Animals (Basel) 2023; 13:ani13071174. [PMID: 37048430 PMCID: PMC10093743 DOI: 10.3390/ani13071174] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 03/15/2023] [Accepted: 03/24/2023] [Indexed: 03/29/2023] Open
Abstract
Over the last 40–50 years, ethology has become increasingly quantitative and computational. However, when analysing animal behavioural sequences, researchers often need help finding an adequate model to assess certain characteristics of these sequences while using a relatively small number of parameters. In this review, I demonstrate that the information theory approaches based on Shannon entropy and Kolmogorov complexity can furnish effective tools to analyse and compare animal natural behaviours. In addition to a comparative analysis of stereotypic behavioural sequences, information theory can provide ideas for particular experiments on sophisticated animal communications. In particular, it has made it possible to discover the existence of a developed symbolic “language” in leader-scouting ant species based on the ability of these ants to transfer abstract information about remote events.
Collapse
|
2
|
Flexibility and rigidity in hunting behaviour in rodents: is there room for cognition? Anim Cogn 2022; 25:731-743. [PMID: 34993671 DOI: 10.1007/s10071-021-01588-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 11/21/2021] [Accepted: 11/24/2021] [Indexed: 02/08/2023]
Abstract
Predatory hunting is a complex species-typical behaviour involving different skills, some of which may include learning. This research aims to distinguish between rigid and flexible parts in live-insect hunting behaviour in nine herbivorous and granivorous rodent species, and to find out whether there is room for cognition in this activity. In laboratory experiments, all species studied manifest skilful attacks towards insects in a manner that is typical for specialised predators chasing a fleeing prey. Voles demonstrate a "core" and somewhat primitive scheme of a hunting pattern: approaching a potential victim, biting it, and then seizing and handling. Hamsters display the tendency to start their attacks by actions with paws, but they can achieve success only using teeth as well. Gerbils can successfully use both paws and teeth to start the attack, which brings their hunting behaviour closer to that of specialised rodent predators. We revealed variability in the display of hunting in different species, methods of seizing the prey, and the number of attempts to attack an insect before catching it. We found specific flexible fragments within the "bite-grasp-handle" bouts that can be precursors for adaptive phenotypic variations and include some cognitive attributes. We hypothesise that the divergence and specialisation of predatory behaviour in rodents can be based on the natural fragmentation of the original hunting patterns, that is, on the loss or recombination of particular behavioural elements. We consider a possible link between the fragmentation of hunting behaviour and social learning in different classes of animals and conjecture an intriguing correlation between predatory activity, cognitive skills and personal traits in rodents.
Collapse
|
3
|
Reznikova Z. Ants’ Personality and Its Dependence on Foraging Styles: Research Perspectives. Front Ecol Evol 2021. [DOI: 10.3389/fevo.2021.661066] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
The paper is devoted to analyzing consistent individual differences in behavior, also known as “personalities,” in the context of a vital ant task—the detection and transportation of food. I am trying to elucidate the extent to which collective cognition is individual-based and whether a single individual’s actions can suffice to direct the entire colony or colony units. The review analyzes personalities in various insects with different life cycles and provides new insights into the role of individuals in directing group actions in ants. Although it is widely accepted that, in eusocial insects, colony personality emerges from the workers’ personalities, there are only a few examples of investigations of personality at the individual level. The central question of the review is how the distribution of behavioral types and cognitive responsibilities within ant colonies depends on a species’ foraging style. In the context of how workers’ behavioral traits display during foraging, a crucial question is what makes an ant a scout that discovers a new food source and mobilizes its nestmates. In mass recruiting, tandem-running, and even in group-recruiting species displaying leadership, the division of labor between scouts and recruits appears to be ephemeral. There is only little, if any, evidence of ants’ careers and behavioral consistency as leaders. Personal traits characterize groups of individuals at the colony level but not performers of functional roles during foraging. The leader-scouting seems to be the only known system that is based on a consistent personal difference between scouting and foraging individuals.
Collapse
|
4
|
MaBouDi H, Barron AB, Li S, Honkanen M, Loukola OJ, Peng F, Li W, Marshall JAR, Cope A, Vasilaki E, Solvi C. Non-numerical strategies used by bees to solve numerical cognition tasks. Proc Biol Sci 2021; 288:20202711. [PMID: 33593192 PMCID: PMC7934903 DOI: 10.1098/rspb.2020.2711] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
We examined how bees solve a visual discrimination task with stimuli commonly used in numerical cognition studies. Bees performed well on the task, but additional tests showed that they had learned continuous (non-numerical) cues. A network model using biologically plausible visual feature filtering and a simple associative rule was capable of learning the task using only continuous cues inherent in the training stimuli, with no numerical processing. This model was also able to reproduce behaviours that have been considered in other studies indicative of numerical cognition. Our results support the idea that a sense of magnitude may be more primitive and basic than a sense of number. Our findings highlight how problematic inadvertent continuous cues can be for studies of numerical cognition. This remains a deep issue within the field that requires increased vigilance and cleverness from the experimenter. We suggest ways of better assessing numerical cognition in non-speaking animals, including assessing the use of all alternative cues in one test, using cross-modal cues, analysing behavioural responses to detect underlying strategies, and finding the neural substrate.
Collapse
Affiliation(s)
- HaDi MaBouDi
- Department of Computer Science, University of Sheffield, Sheffield S1 4DP, UK
| | - Andrew B Barron
- Department of Computer Science, University of Sheffield, Sheffield S1 4DP, UK.,Department of Biological Sciences, Macquarie University, North Ryde, New South Wales 2109, Australia
| | - Sun Li
- Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, People's Republic of China
| | - Maria Honkanen
- Ecology and Genetics Research Unit, University of Oulu, Oulu, Finland
| | - Olli J Loukola
- Ecology and Genetics Research Unit, University of Oulu, Oulu, Finland
| | - Fei Peng
- Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, People's Republic of China
| | - Wenfeng Li
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Science, Guangzhou, People's Republic of China
| | - James A R Marshall
- Department of Computer Science, University of Sheffield, Sheffield S1 4DP, UK
| | - Alex Cope
- Department of Computer Science, University of Sheffield, Sheffield S1 4DP, UK
| | - Eleni Vasilaki
- Department of Computer Science, University of Sheffield, Sheffield S1 4DP, UK
| | - Cwyn Solvi
- Department of Biological Sciences, Macquarie University, North Ryde, New South Wales 2109, Australia.,School of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, UK
| |
Collapse
|