World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
42
Citations
21541
World Ranking
6350
National Ranking
1738

Research.com Recognitions

  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2006 - ACM Distinguished Member

Overview

David S. Touretzky is affiliated with Carnegie Mellon University in the United States. Their research primarily focuses on computer science, with significant contributions in artificial intelligence, computer science applications, computational theory and mathematics, developmental and educational psychology, and computer vision and pattern recognition.

The main topics covered in their work include teaching and learning programming, computability, logic, AI algorithms, machine learning and data classification, evolutionary algorithms and applications, computational physics and Python applications, data visualization and analytics, and software engineering research.

They have published several papers, including:

  • Machine Learning and the Five Big Ideas in AI (2022), International Journal of Artificial Intelligence in Education
  • Neural Networks in Middle School (2024), ACM Inroads

Coauthors frequently collaborating with David S. Touretzky include Christina Gardner-McCune, Neel Pawar, William Gelder, Judith Uchidiuno, and Yu Xing.

Their recent publications reflect involvement in conferences and journals such as the Proceedings of the AAAI Conference on Artificial Intelligence, International Journal of Artificial Intelligence in Education, AI Magazine, ACM Inroads, and Proceedings.

Awards received by David S. Touretzky include:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2020
  • ACM Distinguished Member, 2006

Their contributions span multiple subfields, particularly artificial intelligence, with a focus on educational applications of AI and computer science. Their work also engages with the integration of machine learning concepts in K-12 education settings.

Best Publications

  • Advances in neural information processing systems 3

    Richard P. Lippmann;David S. Touretzky

  • The mathematics of inheritance systems

    David Stuart Touretzky

  • Envisioning AI for K-12: What Should Every Child Know about AI?

    David S. Touretzky;Christina Gardner-McCune;Fred Martin;Deborah W. Seehorn

  • Bayesian theories of conditioning in a changing world

    Aaron C. Courville;Nathaniel D. Daw;David S. Touretzky

  • A Distributed Connectionist Production System

    David S. Touretzky;Geoffrey E. Hinton

  • A skeptical theory of inheritance in nonmonotonic semantic networks

    John F. Horty;Richmond H. Thomason;David S. Touretzky

  • Segmentation of spatial experience by hippocampal theta sequences

    Anoopum S Gupta;Matthijs A A van der Meer;David S Touretzky;A David Redish

  • The role of the hippocampus in solving the Morris water maze

    A. David Redish;David S. Touretzky

  • A clash of intuitions: the current state of nonmonotonic multiple inheritance systems

    David S. Touretzky;John F. Horty;Richmond H. Thomason

  • Advances in neural information processing systems 1

    David S. Touretzky

  • Symbols among the neurons: details of a connectionist inference architecture

    David S. Touretzky;Geoffrey E. Minton

  • Implicit ordering of defaults in inheritance systems

    David S. Touretzky

  • BoltzCONS: dynamic symbol structures in a connectionist network

    D. S. Touretzky

  • Representation and timing in theories of the dopamine system

    Nathaniel D. Daw;Aaron C. Courville;David S. Tourtezky

  • Machine Learning and the Five Big Ideas in AI

    Unknown

  • Modeling attractor deformation in the rodent head-direction system.

    Jeremy P. Goodridge;David S. Touretzky

  • Shaping robot behavior using principles from instrumental conditioning

    Lisa M. Saksida;Scott M. Raymond;David S. Touretzky

  • Proceedings of the 1993 Connectionist Models Summer School

    Michael C. Mozer;Paul Smolensky;David S. Touretzky;Jeffrey L. Elman

  • Advances in Neural Information Processing Systems 7

    G. Tesauro;D. Touretzky;T. Leen

  • What's hidden in the hidden layers?

    David S. Touretzky;Dean A. Pomerleau

  • A distributed connectionist representation for concept structures

    David S. Touretzky;Shai Geva

  • Connectionist models as neural abstractions

    Ronald Rosenfeld;David S. Touretzky

Frequent Co-Authors

A. David Redish
A. David Redish University of Minnesota
Nathaniel D. Daw
Nathaniel D. Daw Princeton University
Aaron Courville
Aaron Courville University of Montreal
Geoffrey E. Hinton
Geoffrey E. Hinton University of Toronto
Jeffrey L. Elman
Jeffrey L. Elman University of California, San Diego
Lisa M. Saksida
Lisa M. Saksida University of Western Ontario
Gerald Tesauro
Gerald Tesauro IBM (United States)
André A. Fenton
André A. Fenton New York University
Michael C. Mozer
Michael C. Mozer Google (United States)
Terrence J. Sejnowski
Terrence J. Sejnowski Salk Institute for Biological Studies

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