Daniel S. Levine, PhD

Psychology University of Texas at Arlington, Arlington, TX, United States 
Neural Networks, Decision-Making
"Daniel Levine"


Mean distance: 13.15 (cluster 29)
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Doerfler SM, Tajmirriyahi M, Dhaliwal A, et al. (2021) The Dark Triad trait of psychopathy and message framing predict risky decision-making during the COVID-19 pandemic. International Journal of Psychology : Journal International De Psychologie
Levine DS. (2019) One or two minds? Neural network modeling of decision making by the unified self. Neural Networks : the Official Journal of the International Neural Network Society
Kiumarsi B, AlQaudi B, Modares H, et al. (2019) Optimal control using adaptive resonance theory and Q-learning Neurocomputing. 361: 119-125
Song R, Lewis F, Wei Q, et al. (2015) Multiple actor-critic structures for continuous-time optimal control using input-output data. Ieee Transactions On Neural Networks and Learning Systems. 26: 851-65
Alqaudi B, Levine DS, Lewis FL. (2015) A neural network model of decisions on the Asian Disease Problem Proceedings of the International Joint Conference On Neural Networks. 2015
Kiumarsi B, Lewis FL, Levine DS. (2015) Optimal control of nonlinear discrete time-varying systems using a new neural network approximation structure Neurocomputing. 156: 157-165
Levine DS, Ramirez PA. (2013) An attentional theory of emotional influences on risky decisions. Progress in Brain Research. 202: 369-88
Levine DS. (2012) Neural dynamics of affect, gist, probability, and choice Cognitive Systems Research. 15: 57-72
Perlovsky LI, Levine DS. (2012) The Drive for Creativity and the Escape from Creativity: Neurocognitive Mechanisms Cognitive Computation. 4: 292-305
Levine DS, Perlovsky LI. (2010) Emotion in the Pursuit of Understanding International Journal of Synthetic Emotions. 1: 1-11
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