Year: 2023
Type: preprint
Abstract: A core function of intelligence is grounding, which is the process of connecting the natural language and abstract knowledge to the internal representation of the real world in an intelligent being, e.g., a human. Human cognition is grounded in our sensorimotor experiences in the external world and subjective feelings in our internal world. We use languages to communicate with each other and the languages are grounded on our shared sensorimotor experiences and feelings. Without this shard grounding, it is impossible for us to understand each other because all natural languages are highly abstract and are only able to describe a tiny portion of what has happened or is happening in the real world. Although grounding at high or abstract levels has been studied in different fields and applications, to our knowledge, limited systematic work at fine-grained levels has been done. With the rapid progress of large language models (LLMs), it is imperative that we have a sound understanding of grounding in order to move to the next level of intelligence. It is also believed that grounding is necessary for Artificial General Intelligence (AGI). This paper makes an attempt to systematically study this problem.
Source: arXiv (Cornell University)
Author: Liu, Bing
Institution: University of Illinois Chicago
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
Funder: National Science Foundation
Awards: NSF-AoF: CNS Core: Small: CRUISE: A Cross-system Architecture Design for Autonomous Wireless Networks based on Lifelong Machine Learning, SCH: INT: The Virtual Assistant Health Coach: Learning to Autonomously Improve Health Behaviors, AI Institute for Agent-based Cyber Threat Intelligence and Operation, III: Small: A Holistic Approach to Sentiment Analysis
OpenAlex ID: W4389910847