The contingency symmetry bias as a foundation of word learning: Evidence from 8-mont-olds in a matching-to-sample task

Mutsumi Imai, Chiaki Murai, Masato Ohba, Shohei Hidaka, Hiroyuki Okada, Kazuhide Hashiya

Research output: Contribution to conferencePaperpeer-review

Abstract

The contingency symmetry inference, the inference to generalize a learned contingency to a reverse direction, is known to be extremely difficult for non-human animal species (Lionello-DeNolf, 2009). In contrast, humans are known to have the “affirming the consequent fallacy”, which reverses the antecedent and the consequence (if P then Q: Q therefore P). The contingency symmetry bias has been long discussed in relation to the ontogenesis of language learning, as word learning requires understanding of bidirectional relationship between symbols and objects. But how this bias emerges has not been known. This research tested whether 8-month-old human infants have this bias on a matching-to-sample task. The results demonstrated the possession of this bias in human infants before they start active word learning. This bias is likely a uniquely human cognitive bias, which may explain why only humans have language.

Original languageEnglish
Pages3161-3166
Number of pages6
Publication statusPublished - 2022
Event44th Annual Meeting of the Cognitive Science Society: Cognitive Diversity, CogSci 2022 - Toronto, Canada
Duration: 2022 Jul 272022 Jul 30

Conference

Conference44th Annual Meeting of the Cognitive Science Society: Cognitive Diversity, CogSci 2022
Country/TerritoryCanada
CityToronto
Period22/7/2722/7/30

Keywords

  • animal cognition
  • heuristic thinking
  • language learning
  • ontogenesis of language
  • thinking bias
  • word learning

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

Fingerprint

Dive into the research topics of 'The contingency symmetry bias as a foundation of word learning: Evidence from 8-mont-olds in a matching-to-sample task'. Together they form a unique fingerprint.

Cite this