Plow: A collaborative task learning agent
Cached
Download Links
- [www.aaai.org]
- [www.cs.rochester.edu]
- [www.cs.rochester.edu]
- [www.cs.rochester.edu]
- DBLP
Other Repositories/Bibliography
| Venue: | in: Proc. of the 22nd National Conference on Artificial Intelligence |
| Citations: | 27 - 1 self |
BibTeX
@INPROCEEDINGS{Allen_plow:a,
author = {James Allen and Nathanael Chambers and George Ferguson and Lucian Galescu and Hyuckchul Jung and William Taysom},
title = {Plow: A collaborative task learning agent},
booktitle = {in: Proc. of the 22nd National Conference on Artificial Intelligence},
year = {},
pages = {22--26}
}
Years of Citing Articles
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
To be effective, an agent that collaborates with humans needs to be able to learn new tasks from humans they work with. This paper describes a system that learns executable task models from a single collaborative learning session consisting of demonstration, explanation and dialogue. To accomplish this, the system integrates a range of AI technologies: deep natural language understanding, knowledge representation and reasoning, dialogue systems, planning/agent-based systems and machine learning. A formal evaluation shows the approach has great promise.
Citations
| 76 | TRIPS: An integrated intelligent problem-solving assistant - Ferguson, Allen - 1998 |
| 29 | D.S.: Programming by demonstration: An inductive learning formulation - Lau, Weld - 1998 |
| 19 | Task Learning by Instruction in Tailor - BLYTHE |
| 18 | Integrating linguistic and domain knowledge for spoken dialogue systems in multiple domains - Dzikovska, Allen, et al. - 2003 |
| 9 | Real-Time Stochastic Language Generation for Dialogue Systems - Chambers |
| 3 | Using Semantics to Identify Web Objects - Chambers, Allen, et al. - 2006 |
| 1 | Learning Domain Knowledge for Teaching - Angros, Johnson, et al. - 2002 |
| 1 | Learning to act: Acquisition and Optimization - Lee, Anderson - 1997 |
