Learning Fast and Slow: Levels of Learning in General Autonomous Intelligent Agents

Authors

  • John Laird University of Michigan
  • Shiwali Mohan PARC

DOI:

https://doi.org/10.1609/aaai.v32i1.12219

Keywords:

Learning, Cognitive Architecture, Agent Learning, Autonomous Agents, Human Learning

Abstract

We propose two distinct levels of learning for general autonomous intelligent agents. Level 1 consists of fixed architectural learning mechanisms that are innate and automatic. Level 2 consists of deliberate learning strategies that are controlled by the agent's knowledge. We describe these levels and provide an example of their use in a task-learning agent. We also explore other potential levels and discuss the implications of this view of learning for the design of autonomous agents.

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Published

2018-04-29

How to Cite

Laird, J., & Mohan, S. (2018). Learning Fast and Slow: Levels of Learning in General Autonomous Intelligent Agents. Proceedings of the AAAI Conference on Artificial Intelligence, 32(1). https://doi.org/10.1609/aaai.v32i1.12219