Grounding from an AI and Cognitive Science Lens
CoRR(2024)
摘要
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.
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