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Predictive Structure Emerges During the Generalisation of Kin Terms to New Referents

  • Maisy Hallam*
  • , Fiona M Jordan
  • , Simon Kirby
  • , Kenny Smith
  • *Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

Despite cross-linguistic diversity in how kin relations map to terminology, there are constraints on which kin may be categorised together. But what are the constraints on kin term variation, and where do they come from? One proposed constraint is internal co-selection-an evolutionary process where terminological changes in one generation of kin co-occur with parallel changes in other generations. This results in kin categories which are predictable on the basis of other kin categories, a property we call predictive structure. To determine the strength of this constraint, we measured the predictive structure of kinship terminology systems from 731 languages. We found that kinship terminologies exhibit a significant degree of predictive structure, and we argue that its prevalence reflects a cognitive pressure for simplicity imposed during the generalisation of known kin categories to new referent types. We tested this claim using an artificial kin term generalisation task. Our results suggest that people do favour predictive structure when generalising from known kin categories to new referents, but that this preference faces interference from other pressures to distinguish kin by features like gender.

Original languageEnglish
Pages (from-to)1431-1466
Number of pages36
JournalOpen Mind: Discoveries in Cognitive Science
Volume9
DOIs
Publication statusPublished - 26 Sept 2025

Bibliographical note

Publisher Copyright:
© 2025 Maisy Hallam, Fiona M. Jordan, Simon Kirby, and Kenny Smith. Massachusetts Institute of Technology. Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Keywords

  • kinship terminology
  • transmission biases
  • cultural evolution

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