Simon D. Levy, Ph.D.
Affiliations: | Computer Science | Washington and Lee University, Lexington, VA, United States |
Area:
robotics, Vector Symbolic ArchitecturesWebsite:
http://home.wlu.edu/~levys/Google:
"Simon Levy"Cross-listing: Neurotree - MathTree
Parents
Sign in to add mentor| Jordan B. Pollack | grad student | 2003 | Brandeis (Neurotree) | |
| (Infinite RAAM: Initial explorations into a fractal basis for cognition.) | ||||
Collaborators
Sign in to add collaborator| Ross W. Gayler | collaborator | 2003- | Washington & Lee University (Neurotree) |
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Publications
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| Lowney CW, Levy SD, Meroney W, et al. (2020) Connecting Twenty-First Century Connectionism and Wittgenstein Philosophia. 48: 643-671 |
| Levy SD, Lowney C, Meroney W, et al. (2014) Bracketing the beetle: How Wittgenstein's understanding of language can guide our practice in AGI and cognitive science Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8598: 73-84 |
| Levy SD, Bajracharya S, Gayler RW. (2013) Learning behavior hierarchies via high-dimensional sensor projection Aaai Workshop - Technical Report. 25-27 |
| Gayler RW, Levy SD. (2011) Compositional connectionism in cognitive science II: The localist/distributed dimension Connection Science. 23: 85-89 |
| Gayler RW, Levy SD, Bod R. (2010) Explanatory aspirations and the scandal of cognitive neuroscience Frontiers in Artificial Intelligence and Applications. 221: 42-51 |
| Levy SD, Gayler R. (2008) Vector symbolic architectures: A new building material for artificial general intelligence Frontiers in Artificial Intelligence and Applications. 171: 414-418 |
| Cassimatis N, Luke S, Levy SD, et al. (2005) Reports on the 2004 AAAI Fall Symposia Ai Magazine. 26: 98-102 |
| Levy SD, Pollack JB. (2001) Logical computation on a fractal neural substrate Proceedings of the International Joint Conference On Neural Networks. 4: 2530-2535 |
| Melnik O, Levy S, Pollack J. (2000) RAAM for infinite context-free languages Proceedings of the International Joint Conference On Neural Networks. 5: 585-590 |