Citations of work:

Douglas L. Medin, William D. Wattenmaker & Ryszard S. Michalski (1987). Constraints and Preferences in Inductive Learning: An Experimental Study of Human and Machine Performance.

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  1.  16
    Instance‐Based Learning in Dynamic Decision Making.Cleotilde Gonzalez, Javier F. Lerch & Christian Lebiere - 2003 - Cognitive Science 27 (4):591-635.
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    A Simplicity Principle in Unsupervised Human Categorization.Emmanuel M. Pothos & Nick Chater - 2002 - Cognitive Science 26 (3):303-343.
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  3.  57
    From Implicit Skills to Explicit Knowledge: A Bottom‐Up Model of Skill Learning.Edward Merrillb & Todd Petersonb - 2001 - Cognitive Science 25 (2):203-244.
  4.  4
    Accommodating Surprise in Taxonomic Tasks: The Role of Expertise.Eugenio Alberdi, Derek H. Sleeman & Meg Korpi - 2000 - Cognitive Science 24 (1):53-91.
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  5.  44
    Many Reasons or Just One: How Response Mode Affects Reasoning in the Conjunction Problem.Ralph Hertwig Valerie M. Chase - 1998 - Thinking and Reasoning 4 (4):319 – 352.
    Forty years of experimentation on class inclusion and its probabilistic relatives have led to inconsistent results and conclusions about human reasoning. Recent research on the conjunction "fallacy" recapitulates this history. In contrast to previous results, we found that a majority of participants adhere to class inclusion in the classic Linda problem. We outline a theoretical framework that attributes the contradictory results to differences in statistical sophistication and to differences in response mode-whether participants are asked for probability estimates or ranks-and propose (...)
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    On the Interaction of Theory and Data in Concept Learning.Edward J. Wisniewski & Douglas L. Medin - 1994 - Cognitive Science 18 (2):221-281.
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    Human-Centred Decision Support: The IDIOMS System. [REVIEW]J. G. Gammack, T. C. Fogarty, S. A. Battle, N. S. Ireson & J. Cui - 1992 - AI and Society 6 (4):345-366.
    The requirement for anthropocentric, or human-centred decision support is outlined, and the IDIOMS management information tool, which implements several human-centred principles, is described. IDIOMS provides a flexible decision support environment in which applications can be modelled using both ‘objective’ database information, and user-centred ‘subjective’ and contextual information. The system has been tested on several real applications, demonstrating its power and flexibility.
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    Constraints on Constraints: Surveying the Epigenetic Landscape.Frank C. Keil - 1990 - Cognitive Science 14 (1):135-168.
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    Learning Plan Schemata From Observation: Explanation‐Based Learning for Plan Recognition.Raymond J. Mooney - 1990 - Cognitive Science 14 (4):483-509.
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