A Connectionist Formulation of Learning in Dynamic Decision-Making Tasks
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[1] R. Hogarth,et al. Learning from feedback: exactingness and incentives. , 1991, Journal of experimental psychology. Learning, memory, and cognition.
[2] Robin M. Hogarth,et al. Generalization in Decision Research: The Role of Formal Models , 1986, IEEE Transactions on Systems, Man, and Cybernetics.
[3] D. Broadbent,et al. Interactive tasks and the implicit‐explicit distinction , 1988 .
[4] B. Brehmer. Dynamic decision making: human control of complex systems. , 1992, Acta psychologica.
[5] D. Broadbent,et al. On the Relationship between Task Performance and Associated Verbalizable Knowledge , 1984 .
[6] B Brehmer,et al. Variable errors set a limit to adaptation. , 1990, Ergonomics.
[7] James L. McClelland,et al. Nature, nurture, and connections: Implications of connectionist models for cognitive development. , 1991 .
[8] Ward Edwards,et al. Dynamic Decision Theory and Probabilistic Information Processings1 , 1962 .
[9] R. Hogarth. Beyond discrete biases: Functional and dysfunctional aspects of judgmental heuristics. , 1981 .
[10] Michael I. Jordan,et al. Forward Models: Supervised Learning with a Distal Teacher , 1992, Cogn. Sci..
[11] J. Haldane. The interaction of nature and nurture. , 1946, Annals of eugenics.
[12] R. Mathews,et al. Insight without Awareness: On the Interaction of Verbalization, Instruction and Practice in a Simulated Process Control Task , 1989 .
[13] P. Frensch,et al. Complex problem solving : the European perspective , 1995 .
[14] Sebastian Thrun,et al. Explanation-Based Neural Network Learning for Robot Control , 1992, NIPS.
[15] Michael I. Jordan. Constrained supervised learning , 1992 .
[16] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.