Evidence map›Paper›PMID 37048430›Full record

ReviewAnimals : an open access journal from MDPI2023

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

Zhanna Reznikova

Abstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Complexity and Target Preservation in Category Maps.Entropy (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Article
  4. Editorial: Recent Advances in Animal Cognition and Ethology.Animals : an open access journal from MDPI · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Zhanna ReznikovaInstitute of Systematics and Ecology of Animals, Siberian Branch RAS, Frunze 11, 630091 Novosibirsk, Russia.ORCID 0000-0001-6585-9463

Funding

Federal Fundamental Scientific Research Program FWGS-2021-0003
6 · The paper itself

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.

Indexed as

animal communicationantsbehavioural patternsclassificationcomputational ethologyinformation theoryKolmogorov complexityrodentsShannon entropy

Identifiers

PMID37048430
PMCPMC10093743

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.