Learning Fast and Slow: Levels of Learning in General Autonomous Intelligent Agents
DOI:
https://doi.org/10.1609/aaai.v32i1.12219Keywords:
Learning, Cognitive Architecture, Agent Learning, Autonomous Agents, Human LearningAbstract
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
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Section
Senior Track