Georgia Tech Presents Research in Artificial Intelligence, Education, and Cognitive Science at CogSci 2021

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Contact

Joshua Preston
Research Communications Manager
College of Computing

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Summaries

Summary Sentence:

Members of leading research groups at Georgia Tech in education technology, AI, and cognitive science will present at CogSci 2021.

Full Summary:

Members of leading research groups at Georgia Tech in education technology, AI, and cognitive science will present at CogSci 2021.

The 43rd Annual Meeting of the Cognitive Science Society, “Comparative Cognition—Animal Minds”, takes place virtually this week, July 26-29.

Members of leading research groups at Georgia Tech in education technology, AI, and cognitive science will present at CogSci 2021.

The Design & Intelligence Lab, directed by Ashok Goel, School of Interactive Computing, and the Problem Solving and Educational Technology Lab, directed by Richard Catrambone, School of Psychology and School of Interactive Computing, each have work being presented.

Sashank Varma, School of Psychology and School of Interactive Computing, is co-author on a CogSci 2021award paper Categorical perception of p-values.

The Cognitive Science Society brings together researchers from around the world to share research on understanding the nature of the human mind. It focuses on cognitive science as a discipline with an emphasis in advancing artificial intelligence, linguistics, anthropology, psychology, neuroscience, philosophy, and education.

 

Georgia Tech Research:

AI, Computer science and Computer models

The role of clustering in the efficient solution of small Traveling Salesperson Problems
Vijay Marupudi: Georgia Institute of Technology; Rina Harsch: University of Minnesota; V. N. Vimal Rao: University of Minnesota-Twin Cities; Jeffrey K. Bye: University of Minnesota; Jimin Park: University of Minnesota; Sashank Varma: Georgia Tech

Categorization

DISCIPLINARY DIVERSITY & INTEGRATION AWARD IN COGNITIVE SCIENCE
Categorical perception of p-values
V. N. Vimal Rao: University of Minnesota-Twin Cities; Jeffrey K. Bye: University of Minnesota; Sashank Varma: Georgia Tech

Cognitive Science

Calibration information reduces bias during estimation of factorials: A (partial) replication and extension of Tversky and Kahneman (1973)
Jeffrey K. Bye: University of Minnesota; Vijay Marupudi: Georgia Tech; Jimin Park: University of Minnesota; Sashank Varma: Georgia Tech

Individual differences in deepfake detection: Mindblindness and political orientation
Zachary R Tidler: Georgia Institute of Technology; Richard Catrambone: Georgia Institute of Technology

Education, development and perspectives in cognitive science

Cognitive strategies for parameter estimation in model exploration
Sungeun An: Georgia Institute of Technology; Spencer Rugaber: Georgia Institute of Technology; Emily Weigel: Georgia Institute of Technology; Ashok Goel: Georgia Institute of Technology

Learn more about CogSci 2021.

 

Additional Information

Groups

GVU Center, School of Interactive Computing

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Status
  • Created By: Joshua Preston
  • Workflow Status: Draft
  • Created On: Jul 26, 2021 - 12:18pm
  • Last Updated: Jul 26, 2021 - 12:48pm