AAAI Publications, Thirty-Second AAAI Conference on Artificial Intelligence

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Learning Fast and Slow: Levels of Learning in General Autonomous Intelligent Agents
John E. Laird, Shiwali Mohan

Last modified: 2018-04-29


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.


Learning; Cognitive Architecture; Agent Learning; Autonomous Agents; Human Learning

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