11 found
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  1.  18
    The Soft Constraints Hypothesis: A Rational Analysis Approach to Resource Allocation for Interactive Behavior.Wayne D. Gray, Chris R. Sims, Wai-Tat Fu & Michael J. Schoelles - 2006 - Psychological Review 113 (3):461-482.
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  2.  51
    Soft Constraints in Interactive Behavior: The Case of Ignoring Perfect Knowledge in‐the‐World for Imperfect Knowledge in‐the‐Head*,*.Wayne D. Gray & Wai-Tat Fu - 2004 - Cognitive Science 28 (3):359-382.
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  3.  18
    From Recurrent Choice to Skill Learning: A Reinforcement-Learning Model.Wai-Tat Fu & John R. Anderson - 2006 - Journal of Experimental Psychology: General 135 (2):184-206.
  4.  22
    Dual Learning Processes in Interactive Skill Acquisition.Wai-Tat Fu & John R. Anderson - 2008 - Journal of Experimental Psychology: Applied 14 (2):179-191.
  5.  18
    Resolving the Paradox of the Active User: Stable Suboptimal Performance in Interactive Tasks.Wai-Tat Fu & Wayne D. Gray - 2004 - Cognitive Science 28 (6):901-935.
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  6.  62
    Information Foraging Across the Life Span: Search and Switch in Unknown Patches.Jessie Chin, Brennan R. Payne, Wai-Tat Fu, Daniel G. Morrow & Elizabeth A. L. Stine-Morrow - 2015 - Topics in Cognitive Science 7 (3):428-450.
    In this study, we used a word search puzzle paradigm to investigate age differences in the rate of information gain and the cues used to make patch-departure decisions in information foraging. The likelihood of patch departure increased as the profitability of the patch decreased generally. Both younger and older adults persisted past the point of optimality as defined by the marginal value theorem, which assumes perfect knowledge of the foraging ecology. Nevertheless, there was evidence that adults were rational in terms (...)
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  7.  63
    A Dynamic Context Model of Interactive Behavior.Wai-Tat Fu - 2011 - Cognitive Science 35 (5):874-904.
    A dynamic context model of interactive behavior was developed to explain results from two experiments that tested the effects of interaction costs on encoding strategies, cognitive representations, and response selection processes in a decision-making and a judgment task. The model assumes that the dynamic context defined by the mixes of internal and external representations and processes are sensitive to the interaction cost imposed by the task environment. The model predicts that changes in the dynamic context may lead to systematic biases (...)
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  8.  4
    Soft Constraints in Interactive Behavior: The Case of Ignoring Perfect Knowledge in-the-World for Imperfect Knowledge in-the-Head*1, *2.W. Gray & Wai-Tat Fu - 2004 - Cognitive Science 28 (3):359-382.
    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 effort microstrategy is chosen. In calculating the effort required to execute a microstrategy each of the three types of operations, memory retrieval, perception, and action, are given equal weight; that is, perceptual-motor activity does not have (...)
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  9.  8
    Is a Single‐Bladed Knife Enough to Dissect Human Cognition? Commentary on Griffiths Et Al.Wai-Tat Fu - 2008 - Cognitive Science 32 (1):155-161.
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  10.  40
    Interfacing Mind and Environment: The Central Role of Search in Cognition.Wai-Tat Fu, Thomas Hills & Peter M. Todd - 2015 - Topics in Cognitive Science 7 (3):384-390.
    Search can be found in almost every cognitive activity, ranging across vision, memory retrieval, problem solving, decision making, foraging, and social interaction. Because of its ubiquity, research on search has a tendency to fragment into multiple areas of cognitive science. The proposed topic aims at providing integrative discussion of the central role of search from multiple perspectives. We focus on controlled search processes, which require a goal, uncertainty about the nature, location, or acquisition method of the objects to be searched (...)
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  11.  21
    The Central Role of Heuristic Search in Cognitive Computation Systems.Wai-Tat Fu - 2016 - Minds and Machines 26 (1-2):103-123.
    This paper focuses on the relation of heuristic search and level of intelligence in cognitive computation systems. The paper begins with a review of the fundamental properties of a cognitive computation system, which is defined generally as a control system that generates goal-directed actions in response to environmental inputs and constraints. An important property of cognitive computations is the need to process local cues in symbol structures to access and integrate distal knowledge to generate a response. To deal with uncertainties (...)
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