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ORCIDDaniel S. Levine 0001
Person information
- affiliation: University of Texas, Arlington, Department of Psychology, TX, USA
Other persons with the same name
- Daniel S. Levine 0002 — Massachusetts Institute of Technology, Aerospace Controls Laboratory, Cambridge, MA, USA
- Daniel S. Levine 0003
![[0000-0001-8921-3659]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8921-3659")
— Schrödinger, Inc., New York, NY, USA
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Journal Articles
- 2019
[j19]Bahare Kiumarsi, Bakur AlQaudi, Hamidreza Modares, Frank L. Lewis, Daniel S. Levine:
Optimal control using adaptive resonance theory and Q-learning. Neurocomputing 361: 119-125 (2019)- [j18]Daniel S. Levine:
One or two minds? Neural network modeling of decision making by the unified self. Neural Networks 120: 74-85 (2019) - 2017
- [j17]Daniel S. Levine:
Modeling the instinctive-emotional-thoughtful mind. Cogn. Syst. Res. 45: 82-94 (2017) - 2015
- [j16]Bahare Kiumarsi, Frank L. Lewis, Daniel S. Levine:
Optimal control of nonlinear discrete time-varying systems using a new neural network approximation structure. Neurocomputing 156: 157-165 (2015) - [j15]Ruizhuo Song, Frank L. Lewis, Qinglai Wei, Huaguang Zhang, Zhong-Ping Jiang, Daniel S. Levine:
Multiple Actor-Critic Structures for Continuous-Time Optimal Control Using Input-Output Data. IEEE Trans. Neural Networks Learn. Syst. 26(4): 851-865 (2015) - 2012
- [j14]Leonid I. Perlovsky, Daniel S. Levine:
The Drive for Creativity and the Escape from Creativity: Neurocognitive Mechanisms. Cogn. Comput. 4(3): 292-305 (2012) - [j13]Daniel S. Levine:
Neural dynamics of affect, gist, probability, and choice. Cogn. Syst. Res. 15: 57-72 (2012) - 2010
- [j12]Daniel S. Levine, Leonid I. Perlovsky:
Emotion in the Pursuit of Understanding. Int. J. Synth. Emot. 1(2): 1-11 (2010) - 2009
- [j11]Robert Kozma, Daniel S. Levine, Leonid I. Perlovsky:
Introduction to the special issue on goal-directed neural systems. Neural Networks 22(3): 197-199 (2009) - [j10]Daniel S. Levine:
Brain pathways for cognitive-emotional decision making in the human animal. Neural Networks 22(3): 286-293 (2009) - [j9]Laxmi R. Iyer, Simona Doboli, Ali A. Minai, Vincent R. Brown, Daniel S. Levine, Paul B. Paulus:
Neural dynamics of idea generation and the effects of priming. Neural Networks 22(5-6): 674-686 (2009) - 2005
- [j8]Danil V. Prokhorov, Daniel S. Levine, Fredric M. Ham, William Howell:
Welcome to the special issue. Neural Networks 18(5-6): 457- (2005) - [j7]Ana Maria C. Aleksandrowicz, Daniel S. Levine:
Neural dynamics of psychotherapy: what modeling might tell us about us. Neural Networks 18(5-6): 639-645 (2005) - 2003
- [j6]Daniel S. Levine, Nilendu G. Jani, David G. Gilbert:
Modeling the effects of nicotine on a continuous performance task. Neurocomputing 52-54: 573-582 (2003) - 2000
- [j5]Nilendu G. Jani, Daniel S. Levine:
A neural network theory of proportional analogy-making. Neural Networks 13(2): 149-183 (2000) - 1996
- [j4]Samuel J. Leven, Daniel S. Levine:
Multiattribute Decision Making in Context: A Dynamic Neural Network Methodology. Cogn. Sci. 20(2): 271-299 (1996) - 1995
- [j3]Eric A. Weiss, Justin Leiber, Judith Felson Duchan, Mallory Selfridge, Eric Dietrich, Peter A. Facione, Timothy Joseph Day, Johan M. Lammens, Andrew Feenberg, Deborah G. Johnson, Daniel S. Levine, Ted A. Warfield:
Book reviews. Minds Mach. 5(1): 109-155 (1995) - 1994
- [j2]Raju S. Bapi, Daniel S. Levine:
Modeling the role of frontal lobes in sequential task performance. I. Basic structure and primacy effects. Neural Networks 7(6-7): 1167-1180 (1994) - 1989
- [j1]Daniel S. Levine, Paul S. Prueitt:
Modeling some effects of frontal lobe damage--Novelty and perseveration. Neural Networks 2(2): 103-116 (1989)
Conference and Workshop Papers
- 2020
- [c22]Daniel S. Levine:
What You Get is More Than What You See - or Less - in Models of Human Decision Making. IJCNN 2020: 1-5 - 2018
- [c21]Daniel S. Levine, Kay-Yut Chen:
Neural Network Modeling of Gist and Verbatim in Business Decision Making. IJCNN 2018: 1-8 - 2017
- [c20]Daniel S. Levine, Kay-Yut Chen, Bakur AlQaudi:
Neural network modeling of business decision making. IJCNN 2017: 206-213 - 2016
- [c19]Daniel S. Levine:
Toward a neuro-developmental theory of decision attribute weighting. IJCNN 2016: 1811-1816 - 2015
- [c18]Bakur AlQaudi, Daniel S. Levine, Frank L. Lewis:
A neural network model of decisions on the Asian Disease Problem. IJCNN 2015: 1-8 - 2013
- [c17]Daniel S. Levine:
In search of the brain's executive. IJCNN 2013: 1-5 - [c16]Daniel S. Levine, Mihai Nadin:
Toward a neural network theory of emotional influences on creativity. IJCNN 2013: 1-7 - 2012
- [c15]Leon C. Hardy, Dahai Liu, Daniel S. Levine:
Neurohydrodynamics as a heuristic mechanism for cognitive processes in decision-making. IJCNN 2012: 1-10 - [c14]Daniel S. Levine:
I think therefore I feel: Possible neural mechanisms for knowledge-based pleasure. IJCNN 2012: 1-5 - 2011
- [c13]Daniel S. Levine:
Modeling decisions by brains that think, feel, and vegetate. CCMB 2011: 21-28 - [c12]Daniel S. Levine:
The pitfalls of doing the right thing for the wrong reason. IJCNN 2011: 886-891 - 2010
- [c11]Aydin Farajidavar, Daniel S. Levine, Nicholas W. Kohn, Paul B. Paulus:
Modeling the beneficial effects of incubation in creative brainstorming. IJCNN 2010: 1-6 - [c10]Leonid I. Perlovsky, Daniel S. Levine:
Drive for Creativity. IJCNN 2010: 1-6 - 2009
- [c9]Daniel S. Levine:
Executive function, rule selection, and probability judgment. IJCNN 2009: 1771-1776 - 2008
- [c8]Draguna L. Vrabie, Frank L. Lewis, Daniel S. Levine:
Neural Network-Based Adaptive Optimal Controller - A Continuous-Time Formulation. ICIC (3) 2008: 276-285 - [c7]Daniel S. Levine:
Brain Mechanisms for Making, Breaking, and Changing Rules. ICIC (3) 2008: 345-355 - [c6]Daniel S. Levine, Leonid I. Perlovsky:
A network model of rational versus irrational choices on a probability maximization task. IJCNN 2008: 2820-2824 - 2006
- [c5]Daniel S. Levine:
Emotion and Decision Making: Short-term Reactions versus Long-term Evaluations. IJCNN 2006: 195-202 - [c4]Daniel S. Levine:
Modeling the Evolution of Decision Rules in the Human Brain. IJCNN 2006: 625-631 - 2000
- [c3]John G. Taylor, Neill R. Taylor, Raju S. Bapi, Guido Bugmann, Daniel S. Levine:
The Frontal Lobes and Executive Function. IJCNN (1) 2000: 41-46 - 1997
- [c2]Jean-Daniel Kant, Daniel S. Levine:
A neural network for decision making under the influence of reinforcement. ICNN 1997: 558-563 - 1990
- [c1]Daniel S. Levine, Raju S. Bapi:
Networks modeling the involvement of the frontal lobes in learning and performance of flexible movement sequences. IJCNN 1990: 759-764
Parts in Books or Collections
- 2016
- [p1]Daniel S. Levine:
Certain and Uncertain Futures in the Brain. Anticipation Across Disciplines 2016: 71-80
Editorship
- 2008
- [e3]De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine, Kang-Hyun Jo:
Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 4th International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, September 15-18, 2008, Proceedings. Communications in Computer and Information Science 15, Springer 2008, ISBN 978-3-540-85929-1 [contents] - [e2]De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine, Kang-Hyun Jo:
Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 4th International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, September 15-18, 2008, Proceedings. Lecture Notes in Computer Science 5226, Springer 2008, ISBN 978-3-540-87440-9 [contents] - [e1]De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine, Kang-Hyun Jo:
Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 4th International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, September 15-18, 2008, Proceedings. Lecture Notes in Computer Science 5227, Springer 2008, ISBN 978-3-540-85983-3 [contents]
Coauthor Index
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