Learning to infer final plans in human team planning
We envision an intelligent agent that analyzes conversations during human team meetings in order to infer the team's plan, with the purpose of providing decision support to strengthen that plan. We present a novel learning technique to infer teams' final plans directly from a processed for...
Main Authors: | Kim, Joseph, Woicik, Matthew E., Gombolay, Matthew C., Son, Sung-Hyun, Shah, Julie A |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
International Joint Conferences on Artificial Intelligence
2020
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Online Access: | https://hdl.handle.net/1721.1/125887 |
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