Levels of AI Agents: from Rules to Large Language Models
Clicks: 13
ID: 283232
2024
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.
Reference Key |
huang2024levels
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
---|---|
Authors | Yu Huang |
Journal | arXiv |
Year | 2024 |
DOI | DOI not found |
URL | |
Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.