ML Anthology

A Learning Architecture for Automating the Intelligent Environment

G. Michael Youngblood, Diane J. Cook, Lawrence B. Holder
AAAI 2005 pp. 1576-1583
/aaai/2005/youngblood2005aaai-learning/

Abstract

Developing technologies and systems for perception and perspicacious automated control of home and workplace environments is a challenging problem. We present a complete agent architecture for learning to automate the intelligent environment and discuss the development, deployment, and techniques utilized in our working intelligent environments. Empirical evaluation of our approach has proven its effectiveness at reducing inhabitant interactions by 72.2%.

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Cite

Text

Youngblood et al. "A Learning Architecture for Automating the Intelligent Environment." AAAI Conference on Artificial Intelligence, 2005.

Markdown

[Youngblood et al. "A Learning Architecture for Automating the Intelligent Environment." AAAI Conference on Artificial Intelligence, 2005.](https://mlanthology.org/aaai/2005/youngblood2005aaai-learning/)

BibTeX

@inproceedings{youngblood2005aaai-learning,
  title     = {{A Learning Architecture for Automating the Intelligent Environment}},
  author    = {Youngblood, G. Michael and Cook, Diane J. and Holder, Lawrence B.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2005},
  pages     = {1576-1583},
  url       = {https://mlanthology.org/aaai/2005/youngblood2005aaai-learning/}
}