Paul Smolensky

Paul Smolensky (born May 5, 1955) is Krieger-Eisenhower Professor of Cognitive Science at the Johns Hopkins University and a Partner Researcher at Microsoft Research, Redmond Washington.

Paul Smolensky
Born (1955-05-05) May 5, 1955
NationalityUSA
Alma materHarvard University, Indiana University
Known forOptimality theory, phonology, syntax, language acquisition, learnability, artificial neural networks, restricted Boltzmann machines
AwardsRumelhart Prize (2005)
Scientific career
FieldsCognitive science, linguistics, computational linguistics, artificial intelligence
InstitutionsJohns Hopkins University, Microsoft Research, Redmond
Websiteat JHU, at MSR

Along with Alan Prince, he developed Optimality Theory, a grammar formalism providing a formal theory of cross-linguistic typology (or Universal Grammar) within linguistics. Optimality Theory is popularly used for phonology, the subfield to which it was originally applied, but has been extended to other areas of linguistics such as syntax and semantics.

Smolensky is the recipient of the 2005 Rumelhart Prize for his development of the ICS Architecture, a model of cognition that aims to unify connectionism and symbolism, where the symbolic representations and operations are manifested as abstractions on the underlying connectionist or artificial neural networks. This architecture rests on Tensor Product Representations,[1] compositional embeddings of symbolic structures in vector spaces. It encompasses the Harmonic Grammar framework, a connectionist-based numerical grammar formalism he developed with Géraldine Legendre and Yoshiro Miyata,[2] which was the predecessor of Optimality Theory. The ICS Architecture builds on Harmony Theory, an architecture for artificial neural networks that introduced the restricted Boltzmann machine.

Among his other important contributions is the notion of local conjunction of linguistic constraints, in which two constraints combine into a single stronger constraint that is violated only when both of its conjuncts are violated within the same specified local domain. Local conjunction has been applied to the analysis of various "super-additive" effects in Optimality Theory. With Bruce Tesar (Rutgers University), Smolensky has also contributed significantly to the study of the learnability of Optimality Theoretic grammars (in the sense of computational learning theory).

Smolensky was a founding member of the Parallel Distributed Processing research group at the University of California, San Diego, and is currently a member of the Center for Language and Speech Processing at Johns Hopkins University and of the Deep Learning Group at Microsoft Research, Redmond Washington.

References
  1. Smolensky, Paul. (1990). Tensor product variable binding and the representation of symbolic structures in connectionist systems. Artificial intelligence 46.1-2: 159-216.
  2. Legendre, Géraldine; Miyata, Yoshiro; & Smolensky, Paul. (1990). Harmonic Grammar: A formal multi-level connectionist theory of linguistic well-formedness: Theoretical foundations. In Proceedings of the twelfth annual conference of the Cognitive Science Society (pp. 388–395). Cambridge, MA: Lawrence Erlbaum. Legendre, Géraldine; Miyata, Yoshiro; & Smolensky, Paul. (1990). Harmonic Grammar: A formal multi-level connectionist theory of linguistic well-formedness: Theoretical foundations. Report CU-CS-465-90. Computer Science Department, University of Colorado at Boulder. (Online: www.cs.colorado.edu/department/publications/reports/docs/CU-CS-465-90.pdf.)


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