Abstract / Description of output
In natural languages and in experimental studies of artificial language learning, case marking of grammatical arguments is more likely to be used in languages with flexible word order due to an efficiency trade-off between production effort and communicative accuracy. However, experimental evidence suggests that language learners are less efficient when there is a social bias in favour of a group whose productions are inefficient. Here, we examine the impact of autistic traits on efficient communication. We find that autistic people's use of case in the absence of a social bias is comparative to their neurotypical peers. However, we also find evidence that autistic people adhere more to social biases; they increase production effort in order to behave more like the group they are biased towards. We argue that some autistic people may be more likely to adhere to a social bias as a result of learnt social behaviours. More generally, these results underscore the importance of studying more diverse populations in language evolution research.
Original language | English |
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Title of host publication | Proceedings of the 45th Annual Conference of the Cognitive Science Society |
Publisher | Cognitive Science Society |
Pages | 2825-2832 |
Volume | 45 |
Edition | 45 |
Publication status | E-pub ahead of print - 12 Jul 2023 |
Event | 45th Annual Conference of the Cognitive Science Society: Cognition in Context - ICC Sydney, Sydney, Australia Duration: 26 Jul 2023 → 29 Jul 2023 https://cognitivesciencesociety.org/cogsci-2023/ |
Publication series
Name | Proceedings of the Annual Meeting of the Cognitive Science Society |
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ISSN (Electronic) | 1069-7977 |
Conference
Conference | 45th Annual Conference of the Cognitive Science Society |
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Abbreviated title | CogSci 2023 |
Country/Territory | Australia |
City | Sydney |
Period | 26/07/23 → 29/07/23 |
Internet address |
Keywords / Materials (for Non-textual outputs)
- language evolution
- neurodivergence
- autism
- artificial language learning
- social biases
- cultural evolution