English

Levels of AI Agents: from Rules to Large Language Models

Computation and Language 2024-10-23 v2

Abstract

AI agents are defined as artificial entities to perceive the environment, make decisions and take actions. Inspired by the 6 levels of autonomous driving by Society of Automotive Engineers, the AI agents are also categorized based on utilities and strongness, as the following levels: L0, no AI, with tools taking into account perception plus actions; L1, using rule-based AI; L2, making rule-based AI replaced by IL/RL-based AI, with additional reasoning & decision making; L3, applying LLM-based AI instead of IL/RL-based AI, additionally setting up memory & reflection; L4, based on L3, facilitating autonomous learning & generalization; L5, based on L4, appending personality of emotion and character and collaborative behavior with multi-agents.

Keywords

Cite

@article{arxiv.2405.06643,
  title  = {Levels of AI Agents: from Rules to Large Language Models},
  author = {Yu Huang},
  journal= {arXiv preprint arXiv:2405.06643},
  year   = {2024}
}
R2 v1 2026-06-28T16:23:31.242Z