Large Dataset of Generalization Patterns in the Number Gamehttps://doi.org/10.7910/DVN/A8ZWLFBigelow, Eric J.Piantadosi, Steven T.Harvard Dataverse2018-08-102018-08-10T05:17:01Z272,700 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.Social SciencesGeneralization; Bayesian inference; Structured cognitive model; Numerical cognition; Concept learningEnglishTenenbaum, J. B. (2000). Rules and similarity in concept learning. Advances in neural information processing systems, 12, 59-65., http://web.mit.edu/cocosci/Papers/nips99preprint.pdfTenenbaum, J. B. (1999). A Bayesian framework for concept learning (Doctoral dissertation, Massachusetts Institute of Technology)., http://dspace.mit.edu/handle/1721.1/16714Tenenbaum, J. B. & Griffiths, T. L. (2001). Generalization, similarity, and Bayesian inference. Behavioral and Brain Sciences, 24(4), 629-640., http://web.mit.edu/cocosci/Papers/tenenbaum_griffiths01.pdf2018-08-10Bigelow, Eric2015-05-192015-03-272015-04-14CC0 1.0