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Local sampling with momentum accounts for human random sequence generation
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Castillo, Lucas, Leon-Villagra, Pablo, Chater, Nick and Sanborn, Adam N. (2021) Local sampling with momentum accounts for human random sequence generation. Proceedings of the Annual Meeting of the Cognitive Science Society, 43 . ISSN 1069-7977.
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WRAP-local-sampling-momentum-accounts-human-random-sequence-generation-Castillo-2021.pdf - Accepted Version - Requires a PDF viewer. Download (334Kb) | Preview |
Official URL: https://escholarship.org/uc/item/3gz154kg
Abstract
Many models of cognition assume that people can generate independent samples, yet people fail to do so in random generation tasks. One prominent explanation for this behavior is that people use learned schemas. Instead, we propose that deviations from randomness arise from people sampling locally rather than independently. To test these explanations, we teach people one- and two-dimensional arrangements of syllables and ask them to generate random sequences from them. Although our results reproduce characteristic features of human random generation, such as a preference for adjacent items and an avoidance of repetitions, we also find an effect of dimensionality on the patterns people produce. Furthermore, model comparisons revealed that local sampling accounted better for participants' sequences than a schema account. Finally, evaluating the importance of each models' constituents, we show that the local sampling model proposed new states based on its current trajectory, rather than an inhibition-of-return-like principle.
| Item Type: | Journal Article | ||||||
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| Subjects: | B Philosophy. Psychology. Religion > BC Logic B Philosophy. Psychology. Religion > BF Psychology H Social Sciences > HA Statistics |
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| Divisions: | Faculty of Social Sciences > Warwick Business School > Behavioural Science Faculty of Science, Engineering and Medicine > Science > Psychology Faculty of Social Sciences > Warwick Business School |
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| Library of Congress Subject Headings (LCSH): | Inference, Cognition , Random data (Statistics) , Sampling (Statistics), Probabilities | ||||||
| Journal or Publication Title: | Proceedings of the Annual Meeting of the Cognitive Science Society | ||||||
| Publisher: | The Cognitive Science Society | ||||||
| ISSN: | 1069-7977 | ||||||
| Official Date: | 2021 | ||||||
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| Volume: | 43 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||
| Date of first compliant deposit: | 1 October 2021 | ||||||
| Date of first compliant Open Access: | 4 October 2021 | ||||||
| RIOXX Funder/Project Grant: |
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| Is Part Of: | 1 | ||||||
| Open Access Version: |
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