Design principles for intelligent environments
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
MavHome: An Agent-Based Smart Home
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Improving Home Automation by Discovering Regularly Occurring Device Usage Patterns
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
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Smart-home conception has emerged in recent years and played a very important part in the formation of future houses. Since the beginning of the smart-home era, home automation benefits have never overshadowed the cost of such systems. One of these costs is that there is always the need for home inhabitants to program the system to perform daily tasks. In this paper we present prototype of a system that overcomes this problem by giving the home enough intelligence to adapt to its inhabitants life style without the need for the inhabitants to exercise authority. The system makes use of multi-agent and prediction techniques to provide intelligent smart-home appliances automation. Results indicate that the technique applied in this research not only makes the system very fast and accurate but also makes it portable and cost effective.