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Heuristics facilitates the evolution of transitive inference and social hierarchy in a large group

Doi, Kazuto and Nakamaru, Mayuko (2023) Heuristics facilitates the evolution of transitive inference and social hierarchy in a large group. Acta Biotheoretica, 71 (8). ISSN 0001-5342

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Abstract

Transitive inference (TI) refers to social cognition that facilitates the discernment of unknown relationships between individuals using known relationships. It is extensively reported that TI evolves in animals living in a large group because TI could assess relative rank without deducing all dyadic relationships, which averts costly fights. The relationships in a large group become so complex that social cognition may not be developed adequately to handle such complexity. If members apply TI to all possible members in the group, TI requires extremely highly developed cognitive abilities especially in a large group. Instead of developing cognitive abilities significantly, animals may apply simplified TI we call reference TI in this study as heuristic approaches. The reference TI allows members to recognize and remember social interactions only among a set of reference members rather than all potential members. Our study assumes that information processes in the reference TI comprises (1) the number of reference members based on which individuals infer transitively, (2) the number of reference members shared by the same strategists, and (3) memory capacity. We examined how information processes evolve in a large group using evolutionary simulations in the hawk–dove game. Information processes with almost any numbers of reference members could evolve in a large group as long as the numbers of shared reference member are high because information from the others’ experiences is shared. TI dominates immediate inference, which assesses relative rank on direct interactions, because TI could establish social hierarchy more rapidly applying information from others’ experiences.


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Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Doi, Kazuto83nsoundbeach@gmail.com0000-0002-5591-7241
Nakamaru, Mayukonakamaru.m.aa@m.titech.ac.jp0000-0003-2116-1711
Keywords: Evolutionary simulations; Group size; Heuristics; Reference transitive inference; Social complexity hypothesis
Subjects: Specific Sciences > Biology > Evolutionary Theory
General Issues > Computer Simulation
Specific Sciences > Cognitive Science > Concepts and Representations
General Issues > Game Theory
Specific Sciences > Cognitive Science > Learning and Memory
General Issues > Models and Idealization
Depositing User: Dr. Kazuto Doi
Date Deposited: 06 Mar 2023 14:18
Last Modified: 06 Mar 2023 14:18
Item ID: 21827
Journal or Publication Title: Acta Biotheoretica
Publisher: Springer
Official URL: https://link.springer.com/article/10.1007/s10441-0...
DOI or Unique Handle: https://doi.org/10.1007/s10441-023-09459-5
Subjects: Specific Sciences > Biology > Evolutionary Theory
General Issues > Computer Simulation
Specific Sciences > Cognitive Science > Concepts and Representations
General Issues > Game Theory
Specific Sciences > Cognitive Science > Learning and Memory
General Issues > Models and Idealization
Date: 3 March 2023
Volume: 71
Number: 8
ISSN: 0001-5342
URI: https://philsci-archive.pitt.edu/id/eprint/21827

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