Large Dataset of Generalization Patterns in the Number Game
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Large Dataset of Generalization Patterns in the Number Game
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Identifier |
https://doi.org/10.7910/DVN/A8ZWLF
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Creator |
Bigelow, Eric J.
Piantadosi, Steven T. |
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Publisher |
Harvard Dataverse
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Description |
272,700 two-alternative forced choice responses in a simple numerical task modeled after Tenenbaum (1999, 2000), collected from 606 Amazon Mechanical Turk workers. Subjects were shown sets of numbers length 1 to 4 from the range 1 to 100 (e.g. {12, 16}), and asked what other numbers were likely to belong to that set (e.g. 1, 5, 2, 98). Their generalization patterns reflect both rule-like (e.g. “even numbers,” “powers of two”) and distance-based (e.g. numbers near 50) generalization. This data set is available for further analysis of these simple and intuitive inferences, developing of hands-on modeling instruction, and attempts to understand how probability and rules interact in human cognition.
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Subject |
Social Sciences
Generalization; Bayesian inference; Structured cognitive model; Numerical cognition; Concept learning |
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Language |
English
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Contributor |
Bigelow, Eric
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