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  1.  91
    Sampling Assumptions in Inductive Generalization.Daniel J. Navarro, Matthew J. Dry & Michael D. Lee - 2012 - Cognitive Science 36 (2):187-223.
    Inductive generalization, where people go beyond the data provided, is a basic cognitive capability, and it underpins theoretical accounts of learning, categorization, and decision making. To complete the inductive leap needed for generalization, people must make a key ‘‘sampling’’ assumption about how the available data were generated. Previous models have considered two extreme possibilities, known as strong and weak sampling. In strong sampling, data are assumed to have been deliberately generated as positive examples of a concept, whereas in weak sampling, (...)
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  2. The Wisdom of the Crowd in Combinatorial Problems.Sheng Kung Michael Yi, Mark Steyvers, Michael D. Lee & Matthew J. Dry - 2012 - Cognitive Science 36 (3):452-470.
    The “wisdom of the crowd” phenomenon refers to the finding that the aggregate of a set of proposed solutions from a group of individuals performs better than the majority of individual solutions. Most often, wisdom of the crowd effects have been investigated for problems that require single numerical estimates. We investigate whether the effect can also be observed for problems where the answer requires the coordination of multiple pieces of information. We focus on combinatorial problems such as the planar Euclidean (...)
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  3. The Perceptual Organization of Point Constellations.Matthew J. Dry, Daniel J. Navarro, Kym Preiss & Michael D. Lee - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
     
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  4.  21
    Decision Making and Confidence Given Uncertain Advice.Michael D. Lee & Matthew J. Dry - 2006 - Cognitive Science 30 (6):1081-1095.
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  5. Climate Donations Inspired by Evidence-Based Fundraising.Benjamin S. Freeling, Matthew J. Dry & Sean D. Connell - 2022 - Frontiers in Psychology 13.
    Everyone has an opportunity to contribute to climate solutions. To help people engage with this opportunity, it is critical to understand how climate organizations and fundraisers can best communicate with people and win their financial support. In particular, fundraisers often rely on practical skills and anecdotal beliefs at the expense of scientific knowledge. Fundraisers could be motivated to achieve a substantial boost in funding for climate solutions, if there is evidence of the financial gains that science-based fundraising makes available. In (...)
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  6. Extending and Testing the Bayesian Theory of Generalization.Daniel J. Navarro, Michael D. Lee, Matthew J. Dry & Benjamin Schultz - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society.
     
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