Grounding From an AI and Cognitive Science Lens

Authors

Goonmeet Bajaj, The Ohio State University
Valerie L. Shalin, Wright State University - Main CampusFollow
Srinivasan Parthasarathy, The Ohio State University
Amit Sheth, Wright State University - Main CampusFollow

Document Type

Article

Publication Date

3-1-2024

Identifier/URL

40994545 (Pure)

Abstract

Grounding is a challenging problem, requiring a formal definition and different levels of abstraction. This article explores grounding from both cognitive science and machine learning perspectives. It identifies the subtleties of grounding, its significance for collaborative agents, and similarities and differences in grounding approaches in both communities. The article examines the potential of neuro-symbolic approaches tailored for grounding tasks, showcasing how they can more comprehensively address grounding. Finally, we discuss areas for further exploration and development in grounding.

Comments

Publisher Copyright: © 2001-2011 IEEE.

Repository Citation

Bajaj, G., Shalin, V. L., Parthasarathy, S., & Sheth, A. (2024). Grounding From an AI and Cognitive Science Lens. IEEE Intelligent Systems, 39 (2), 66-71.
https://corescholar.libraries.wright.edu/psychology/641

DOI

10.1109/MIS.2024.3366669