Domain-Independent Reason-Enhanced Controller for Task-ORiented Systems - DIRECTOR

Abstract

In today’s market, different systems (e.g., camera, microwave etc.) exist that can perform specialized tasks. However, users find it frustrating to learn how to operate these task-oriented systems (TOSs) in a manner that suits their needs. If a single agent can interface users with different TOSs, then the users need not learn how to interact with each TOS separately; instead, they just need to learn how to interact with one agent. In addition, if the agent is rational, users can flexibly adapt the operation of the TOSs by interacting with the agent. For example, consider a pool controller that can accept commands to heat a pool, stop heating, and provide the temperature. A user interacting directly with such a system will have to issue the appropriate commands when required. By integrating a rational interfacing agent with such a system,

Cite

Text

Josyula et al. "Domain-Independent Reason-Enhanced Controller for Task-ORiented Systems - DIRECTOR." AAAI Conference on Artificial Intelligence, 2004.

Markdown

[Josyula et al. "Domain-Independent Reason-Enhanced Controller for Task-ORiented Systems - DIRECTOR." AAAI Conference on Artificial Intelligence, 2004.](https://mlanthology.org/aaai/2004/josyula2004aaai-domain/)

BibTeX

@inproceedings{josyula2004aaai-domain,
  title     = {{Domain-Independent Reason-Enhanced Controller for Task-ORiented Systems - DIRECTOR}},
  author    = {Josyula, Darsana P. and Anderson, Michael L. and Perlis, Donald},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2004},
  pages     = {1014-1015},
  url       = {https://mlanthology.org/aaai/2004/josyula2004aaai-domain/}
}