Paul Smolensky
Scholar

Paul Smolensky

Google Scholar ID: PRtkZzYAAAAJ
Microsoft Research Redmond & Krieger-Eisenhower Professor of Cognitive Science, Johns Hopkins
Cognitive scienceAIlinguisticsIntegrating neural and symbolic computation for grammatical theory and reasoning
Citations & Impact
All-time
Citations
8,047
 
H-index
35
 
i10-index
80
 
Publications
20
 
Co-authors
18
list available
Resume (English only)
Academic Achievements
  • Principal contributions are to linguistic theory, the theory of vectorial neural network computation, and the philosophical foundations of cognitive science. For specific achievements, see the Publications tab.
Research Experience
  • Worked at Microsoft Research focusing on integrating symbolic and neural network computation to model reasoning and especially grammar in the human mind/brain. Former professor in the Computer Science Department and Institute of Cognitive Science at the University of Colorado Boulder. Postdoc at the Center for Cognitive Science at the University of California at San Diego, where he was a founding member of the Parallel Distributed Processing Research Group.
Education
  • PhD: Indiana University, Cognitive Science; MS: Indiana University Bloomington, Physics; AB: Harvard University, Physics.
Background
  • Research Interests: Universal grammar in Optimality Theory, integration of connectionist ('neural') and symbolic computation. Areas include computational, linguistic, and philosophical issues.
Miscellany
  • Personal interests and other information not mentioned on the webpage.