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Fu, Wai-Tat – Cognitive Science, 2008
Griffiths, Christian, and Kalish (this issue) present an iterative-learning paradigm applying a Bayesian model to understand inductive biases in categorization. The authors argue that the paradigm is useful as an exploratory tool to understand inductive biases in situations where little is known about the task. It is argued that a theory developed…
Descriptors: Bayesian Statistics, Schemata (Cognition), Schematic Studies, Psychometrics
Fu, Wai-Tat; Gray, Wayne D. – Cognitive Science, 2004
This paper brings the intellectual tools of cognitive science to bear on resolving the ''paradox of the active user'' ["Interfacing Thought: Cognitive Aspects of Human--Computer Interaction," Cambridge, MIT Press, MA, USA]--the persistent use of inefficient procedures in interactive tasks by experienced or even expert users when demonstrably more…
Descriptors: Cognitive Processes, Computers, Users (Information), Interaction
Gray, Wayne D.; Fu, Wai-Tat – Cognitive Science, 2004
Constraints and dependencies among the elements of embodied cognition form patterns or microstrategies of interactive behavior. Hard constraints determine which microstrategies are possible. Soft constraints determine which of the possible microstrategies are most likely to be selected. When selection is non-deliberate or automatic the least…
Descriptors: Behavior, Memory, Perception, Psychomotor Skills

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