14 found
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  1.  29
    SUSTAIN: A Network Model of Category Learning.Bradley C. Love, Douglas L. Medin & Todd M. Gureckis - 2004 - Psychological Review 111 (2):309-332.
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  2.  13
    Memory enhancements from active control of learning emerge across development.Azzurra Ruggeri, Douglas B. Markant, Todd M. Gureckis, Maria Bretzke & Fei Xu - 2019 - Cognition 186 (C):82-94.
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  3.  84
    Collective Behavior.Robert L. Goldstone & Todd M. Gureckis - 2009 - Topics in Cognitive Science 1 (3):412-438.
    The resurgence of interest in collective behavior is in large part due to tools recently made available for conducting laboratory experiments on groups, statistical methods for analyzing large data sets reflecting social interactions, the rapid growth of a diverse variety of online self‐organized collectives, and computational modeling methods for understanding both universal and scenario‐specific social patterns. We consider case studies of collective behavior along four attributes: the primary motivation of individuals within the group, kinds of interactions among individuals, typical dynamics (...)
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  4.  12
    Short-term gains, long-term pains: How cues about state aid learning in dynamic environments.Todd M. Gureckis & Bradley C. Love - 2009 - Cognition 113 (3):293-313.
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  5.  8
    Thinking in groups.Todd M. Gureckis & Robert L. Goldstone - 2006 - Pragmatics and Cognition 14 (2):293-311.
    Is cognition an exclusive property of the individual or can groups have a mind of their own? We explore this question from the perspective of complex adaptive systems. One of the principal insights from this line of work is that rules that govern behavior at one level of analysis can cause qualitatively different behavior at higher levels. We review a number of behavioral studies from our lab that demonstrate how groups of people interacting in real-time can self-organize into adaptive, problem-solving (...)
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  6. Thinking in groups.Todd M. Gureckis & Robert L. Goldstone - 2006 - Pragmatics and Cognition 14 (2):293-311.
    Is cognition an exclusive property of the individual or can groups have a mind of their own? We explore this question from the perspective of complex adaptive systems. One of the principal insights from this line of work is that rules that govern behavior at one level of analysis can cause qualitatively different behavior at higher levels . We review a number of behavioral studies from our lab that demonstrate how groups of people interacting in real-time can self-organize into adaptive, (...)
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  7.  18
    Direct Associations or Internal Transformations? Exploring the Mechanisms Underlying Sequential Learning Behavior.Todd M. Gureckis & Bradley C. Love - 2010 - Cognitive Science 34 (1):10-50.
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  8. The effect of the internal structure of categories on perception.Todd M. Gureckis & Robert L. Goldstone - 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. pp. 1876--1881.
     
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  9.  23
    Self‐Directed Learning Favors Local, Rather Than Global, Uncertainty.Douglas B. Markant, Burr Settles & Todd M. Gureckis - 2016 - Cognitive Science 40 (1):100-120.
    Collecting information that one expects to be useful is a powerful way to facilitate learning. However, relatively little is known about how people decide which information is worth sampling over the course of learning. We describe several alternative models of how people might decide to collect a piece of information inspired by “active learning” research in machine learning. We additionally provide a theoretical analysis demonstrating the situations under which these models are empirically distinguishable, and we report a novel empirical study (...)
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  10.  18
    Causal Information‐Seeking Strategies Change Across Childhood and Adolescence.Kate Nussenbaum, Alexandra O. Cohen, Zachary J. Davis, David J. Halpern, Todd M. Gureckis & Catherine A. Hartley - 2020 - Cognitive Science 44 (9):e12888.
    Intervening on causal systems can illuminate their underlying structures. Past work has shown that, relative to adults, young children often make intervention decisions that appear to confirm a single hypothesis rather than those that optimally discriminate alternative hypotheses. Here, we investigated how the ability to make informative causal interventions changes across development. Ninety participants between the ages of 7 and 25 completed 40 different puzzles in which they had to intervene on various causal systems to determine their underlying structures. Each (...)
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  11. How You Named Your Child: Understanding the Relationship Between Individual Decision Making and Collective Outcomes.Todd M. Gureckis & Robert L. Goldstone - 2009 - Topics in Cognitive Science 1 (4):651-674.
    We examine the interdependence between individual and group behavior surrounding a somewhat arbitrary, real‐world decision: selecting a name for one’s child. Using a historical database of the names given to children over the last century in the United States, we find that naming choices are influenced by both the frequency of a name in the general population, and by its ‘‘momentum’’ in the recent past in the sense that names which are growing in popularity are preferentially chosen. This bias toward (...)
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  12. Is categorical perception really verbally mediated perception?Andrew T. Hendrickson, George Kachergis, Todd M. Gureckis & Robert L. Goldstone - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society.
     
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  13. Active learning strategies in a spatial concept learning game.Todd M. Gureckis & Doug Markant - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society. pp. 3145--3150.
  14. Category learning through active sampling.Doug Markant & Todd M. Gureckis - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 248--253.
     
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