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Information Theory Opens New Dimensions in Experimental Studies of Animal Behaviour and Communication. / Reznikova, Zhanna.

In: Animals, Vol. 13, No. 7, 1174, 26.03.2023.

Research output: Contribution to journal › Review article › peer-review

Harvard

Reznikova, Z 2023, 'Information Theory Opens New Dimensions in Experimental Studies of Animal Behaviour and Communication', Animals, vol. 13, no. 7, 1174. https://doi.org/10.3390/ani13071174

APA

Reznikova, Z. (2023). Information Theory Opens New Dimensions in Experimental Studies of Animal Behaviour and Communication. Animals, 13(7), [1174]. https://doi.org/10.3390/ani13071174

Vancouver

Reznikova Z. Information Theory Opens New Dimensions in Experimental Studies of Animal Behaviour and Communication. Animals. 2023 Mar 26;13(7):1174. doi: 10.3390/ani13071174

Author

Reznikova, Zhanna. / Information Theory Opens New Dimensions in Experimental Studies of Animal Behaviour and Communication. In: Animals. 2023 ; Vol. 13, No. 7.

BibTeX

@article{a7a9df74a9714451bb7099dd609a6452,
title = "Information Theory Opens New Dimensions in Experimental Studies of Animal Behaviour and Communication",
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.",
keywords = "Kolmogorov complexity, Shannon entropy, animal communication, ants, behavioural patterns, classification, computational ethology, information theory, rodents",
author = "Zhanna Reznikova",
note = "Funding: Supported by Russian Fund for Basic Research 20-04-00072, and by Federal Fundamental Scientific Research Program (FWGS-2021-0003).",
year = "2023",
month = mar,
day = "26",
doi = "10.3390/ani13071174",
language = "English",
volume = "13",
journal = "Animals",
issn = "2076-2615",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "7",

}

RIS

TY - JOUR

T1 - Information Theory Opens New Dimensions in Experimental Studies of Animal Behaviour and Communication

AU - Reznikova, Zhanna

N1 - Funding: Supported by Russian Fund for Basic Research 20-04-00072, and by Federal Fundamental Scientific Research Program (FWGS-2021-0003).

PY - 2023/3/26

Y1 - 2023/3/26

N2 - 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.

AB - 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.

KW - Kolmogorov complexity

KW - Shannon entropy

KW - animal communication

KW - ants

KW - behavioural patterns

KW - classification

KW - computational ethology

KW - information theory

KW - rodents

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85152625603&origin=inward&txGid=6a98dd3c1d914c0b2fd9c12f91249f6a

UR - https://www.mendeley.com/catalogue/b619404a-bae5-3091-b9ff-956230fc3b72/

U2 - 10.3390/ani13071174

DO - 10.3390/ani13071174

M3 - Review article

C2 - 37048430

VL - 13

JO - Animals

JF - Animals

SN - 2076-2615

IS - 7

M1 - 1174

ER -

ID: 47675029