Learning Fast and Slow: Levels of Learning in General Autonomous Intelligent Agents
John E. Laird, Shiwali Mohan · Proceedings of the AAAI Conference on Artificial Intelligence · 2018
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.