Research output: Contribution to journal › Article › peer-review
Using data-compressors for classification hunting behavioral sequences in rodents as "ethological texts". / Levenets, Jan; Novikovskaya, Anna; Panteleeva, Sofia et al.
In: Mathematics, Vol. 8, No. 4, 579, 01.04.2020.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Using data-compressors for classification hunting behavioral sequences in rodents as "ethological texts"
AU - Levenets, Jan
AU - Novikovskaya, Anna
AU - Panteleeva, Sofia
AU - Reznikova, Zhanna
AU - Ryabko, Boris
N1 - Publisher Copyright: © 2020 by the authors. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/4/1
Y1 - 2020/4/1
N2 - One of the main problems in comparative studying animal behavior is searching for an adequate mathematical method for evaluating the similarities and differences between behavioral patterns. This study aims to propose a new tool to evaluate ethological differences between species. We developed the new compression-based method for the homogeneity testing and classification to investigate hunting behavior of small mammals. A distinction of this approach is that it belongs to the framework of mathematical statistics and allows one to compare the structural characteristics of any texts in pairwise comparisons. To validate a new method, we compared the hunting behaviors of different species of small mammals as ethological "texts." To do this, we coded behavioral elements with different letters. We then tested the hypothesis whether the behavioral sequences of different species as "texts" are generated either by a single source or by different ones. Based on association coefficients obtained from pairwise comparisons, we built a new classification of types of hunting behaviors, which brought a unique insight into how particular elements of hunting behavior in rodents changed and evolved. We suggest the compression-based method for homogeneity testing as a relevant tool for behavioral and evolutionary analysis.
AB - One of the main problems in comparative studying animal behavior is searching for an adequate mathematical method for evaluating the similarities and differences between behavioral patterns. This study aims to propose a new tool to evaluate ethological differences between species. We developed the new compression-based method for the homogeneity testing and classification to investigate hunting behavior of small mammals. A distinction of this approach is that it belongs to the framework of mathematical statistics and allows one to compare the structural characteristics of any texts in pairwise comparisons. To validate a new method, we compared the hunting behaviors of different species of small mammals as ethological "texts." To do this, we coded behavioral elements with different letters. We then tested the hypothesis whether the behavioral sequences of different species as "texts" are generated either by a single source or by different ones. Based on association coefficients obtained from pairwise comparisons, we built a new classification of types of hunting behaviors, which brought a unique insight into how particular elements of hunting behavior in rodents changed and evolved. We suggest the compression-based method for homogeneity testing as a relevant tool for behavioral and evolutionary analysis.
KW - Behavioral sequence
KW - Biological text
KW - Classification
KW - Data compression
KW - Ethology
KW - Homogeneity test
KW - Hypothesis testing
KW - data compression
KW - hypothesis testing
KW - PATTERNS
KW - homogeneity test
KW - classification
KW - behavioral sequence
KW - COMPLEXITY
KW - biological text
KW - ethology
UR - http://www.scopus.com/inward/record.url?scp=85084476844&partnerID=8YFLogxK
U2 - 10.3390/math8040579
DO - 10.3390/math8040579
M3 - Article
AN - SCOPUS:85084476844
VL - 8
JO - Mathematics
JF - Mathematics
SN - 2227-7390
IS - 4
M1 - 579
ER -
ID: 24260305