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  1.  10
    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.  36
    Goal‐Proximity Decision‐Making.Vladislav D. Veksler, Wayne D. Gray & Michael J. Schoelles - 2013 - Cognitive Science 37 (4):757-774.
    Reinforcement learning (RL) models of decision-making cannot account for human decisions in the absence of prior reward or punishment. We propose a mechanism for choosing among available options based on goal-option association strengths, where association strengths between objects represent previously experienced object proximity. The proposed mechanism, Goal-Proximity Decision-making (GPD), is implemented within the ACT-R cognitive framework. GPD is found to be more efficient than RL in three maze-navigation simulations. GPD advantages over RL seem to grow as task difficulty is increased. (...)
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  3.  12
    Meeting Newell's Other Challenge: Cognitive Architectures as the Basis for Cognitive Engineering.Wayne D. Gray, Michael J. Schoelles & Christopher W. Myers - 2003 - Behavioral and Brain Sciences 26 (5):609-610.
    We use the Newell Test as a basis for evaluating ACT-R as an effective architecture for cognitive engineering. Of the 12 functional criteria discussed by Anderson & Lebiere (A&L), we discuss the strengths and weaknesses of ACT-R on the six that we postulate are the most relevant to cognitive engineering.
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