The context toolkit: aiding the development of context-enabled applications
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
The Hierarchical Hidden Markov Model: Analysis and Applications
Machine Learning
Stochastic Complexity in Statistical Inquiry Theory
Stochastic Complexity in Statistical Inquiry Theory
Planning and Acting in Partially Observable Stochastic Domains
Planning and Acting in Partially Observable Stochastic Domains
Improving Home Automation by Discovering Regularly Occurring Device Usage Patterns
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
The role of prediction algorithms in the MavHome smart home architecture
IEEE Wireless Communications
Support for context-aware intelligibility and control
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Review: Ambient intelligence: Technologies, applications, and opportunities
Pervasive and Mobile Computing
A multi-agent approach to controlling a smart environment
Designing Smart Homes
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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%.