Paul Smolensky
Affiliations: | Johns Hopkins University, Baltimore, MD |
Area:
phonology, neural networks, cognitive science, physicsGoogle:
"Paul Smolensky"Parents
Sign in to add mentor| Donald Henry Weingarten | grad student | 1981 | Indiana University (Physics Tree) |
Children
Sign in to add trainee| Gaja Jarosz | grad student | Johns Hopkins | |
| Bruce Tesar | grad student | 1995 | CU Boulder |
| Matthew Andrew Goldrick | grad student | 2003 | Johns Hopkins |
| Lisa Davidson | grad student | 2004 | Johns Hopkins |
| John T. Hale | grad student | 2004 | Johns Hopkins |
| Adam B. Buchwald | grad student | 2006 | Johns Hopkins |
| Gaja Jarosz Snover | grad student | 2007 | Johns Hopkins |
| Sara Finley | grad student | 2003-2008 | Johns Hopkins |
| Rebecca L. Morley | grad student | 2009 | Johns Hopkins |
| Deepti Ramadoss | grad student | 2012 | Johns Hopkins |
| Eric R. Rosen | post-doc | 2018-2021 | Johns Hopkins |
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Publications
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| Brehm L, Cho PW, Smolensky P, et al. (2022) PIPS: A Parallel Planning Model of Sentence Production. Cognitive Science. 46: e13079 |
| Russin J, Fernandez R, Palangi H, et al. (2021) Compositional Processing Emerges in Neural Networks Solving Math Problems. Cogsci ... Annual Conference of the Cognitive Science Society. Cognitive Science Society (U.S.). Conference. 2021: 1767-1773 |
| Legendre G, Smolensky P. (2017) A competition-based analysis of French anticausatives Lingvisticæ Investigationes. International Journal of Linguistics and Language Resources. 40: 25-42 |
| Putnam MT, Legendre G, Smolensky P. (2016) How constrained is language mixing in bi- and uni-modal production? Epistemological Issue With Keynote Article “the Development of Bimodal Bilingualism: Implications For Linguistic Theory” by Diane Lillo-Martin, Ronice MüLler De Quadros and Deborah Chen Pichler. 6: 812-816 |
| Smolensky P, Goldrick M, Mathis D. (2014) Optimization and quantization in gradient symbol systems: a framework for integrating the continuous and the discrete in cognition. Cognitive Science. 38: 1102-38 |
| Culbertson J, Smolensky P, Wilson C. (2013) Cognitive biases, linguistic universals, and constraint-based grammar learning. Topics in Cognitive Science. 5: 392-424 |
| Culbertson J, Smolensky P. (2012) A Bayesian model of biases in artificial language learning: the case of a word-order universal. Cognitive Science. 36: 1468-98 |
| Smolensky P. (2012) Symbolic functions from neural computation. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 370: 3543-69 |
| Culbertson J, Smolensky P, Legendre G. (2012) Learning biases predict a word order universal. Cognition. 122: 306-29 |
| Legendre G, Smolensky P. (2012) On the Asymmetrical Difficulty of Acquiring Person Reference in French: Production Versus Comprehension Journal of Logic, Language and Information. 21: 7-30 |