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1.
Artificial intelligence approaches to music composition
by Khan, Adil H., M.S.  Northern Kentucky University. 2013: 129 pages; 1549922.
2.
The Effects of Artificial Intelligence on the Youth
by Howley, Robert J., III, M.S.  Utica College. 2019: 41 pages; 22622916.
3.
Relevant Features that Could Qualify Artificial Intelligence Systems as Persons with Moral Standing
by Basulto, Burgandy, M.A.  California State University, Long Beach. 2019: 80 pages; 22583355.
4.
The recreation of consciousness: Artificial intelligence and human individuation
by Loghry, John Brendan, Ph.D.  Pacifica Graduate Institute. 2013: 253 pages; 3605083.
7.
Neural Correlates of Adaptive Behavior: Structure, Dynamics, and Information Processing
by Williams, Steven C., Ph.D.  Indiana University. 2019: 152 pages; 27543239.
10.
Lower Bound Resource Requirements for Machine Intelligence
by Gilmanov, Timur, Ph.D.  Indiana University. 2018: 149 pages; 10980279.
11.
BCAP: An Artificial Neural Network Pruning Technique to Reduce Overfitting
by Brantley, Kiante, M.S.  University of Maryland, Baltimore County. 2016: 71 pages; 10140605.
12.
Artificial Neural Network Impact on Cloud Parameterization and Land-Atmosphere Interactions
by Yacalis, Galen, M.S.  University of California, Irvine. 2018: 106 pages; 10933426.
13.
Adaptive control and learning using multiple models
by Wang, Yu, Ph.D.  Yale University. 2017: 229 pages; 10783473.
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15.
Beyond Bounded Rationality: Reverse-Engineering and Enhancing Human Intelligence
by Lieder, Falk, Ph.D.  University of California, Berkeley. 2018: 476 pages; 10817569.
16.
Flashes of Genius, Toiled Experimentation, and Now Artificial Creation: A Case for Inventive Process Disclosures
by Wamsley, Cody Scott Dwight, LL.M.  The George Washington University. 2011: 105 pages; 1531546.
18.
Method for simulating creativity to generate sound collages from documents on the web
by Merz, Evan X., D.M.A.  University of California, Santa Cruz. 2013: 90 pages; 3609658.
19.
New neural network for real-time human dynamic motion prediction
by Bataineh, Mohammad Hindi, Ph.D.  The University of Iowa. 2015: 253 pages; 3711174.
20.
Ant colony inspired models for trust-based recommendations
by Alathel, Deema, Ph.D.  The George Washington University. 2015: 193 pages; 3686815.
21.
An evolutionary method for training autoencoders for deep learning networks
by Lander, Sean, M.S.  University of Missouri - Columbia. 2014: 43 pages; 10180878.
22.
Attention to Deep Structure in Recurrent Neural Networks
by Sharpe, Spencer S., M.S.  University of Wyoming. 2017: 62 pages; 10619110.
23.
Gestaltung unternehmensübergreifender business-intelligence-netzwerke
by Kaufmann, Jens, Ph.D.  Universitaet Duisburg-Essen (Germany). 2015: 10719745.
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25.
Cooperative particle swarm optimization for combinatorial problems
by Lapizco-Encinas, Grecia C., Ph.D.  University of Maryland, College Park. 2009: 152 pages; 3391379.
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