Modeling human understanding of complex intentional action with a Bayesian nonparametric subgoal model
Most human behaviors consist of multiple parts, steps, or subtasks. These structures guide our action planning and execution, but when we observe others, the latent structure of their actions is typically unobservable, and must be inferred in order to learn new skills by demonstration, or to assist...
Main Authors: | Nakahashi, Ryo, Baker, Christopher Lawrence, Tenenbaum, Joshua B |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Published: |
Association for the Advancement of Artificial Intelligence
2017
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Online Access: | http://hdl.handle.net/1721.1/112656 https://orcid.org/0000-0001-7870-4487 https://orcid.org/0000-0002-1925-2035 |
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