Creating an Ambient-Intelligence Environment Using Embedded Agents
IEEE Intelligent Systems
Context-Aware Resource Management in Multi-Inhabitant Smart Homes: A Nash H-Learning based Approach
PERCOM '06 Proceedings of the Fourth Annual IEEE International Conference on Pervasive Computing and Communications
FollowMe: On Research of Pluggable Infrastructure for Context-Awareness
AINA '06 Proceedings of the 20th International Conference on Advanced Information Networking and Applications - Volume 01
ICHIT '06 Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 02
Designing smart environments: a paradigm based on learning and prediction
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Cases, context, and comfort: opportunities for case-based reasoning in smart homes
Designing Smart Homes
A multi-agent approach to controlling a smart environment
Designing Smart Homes
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This paper reviews the goals of the Domoweb project and the solutions adopted to achieve them. As a result we enjoy a great support to develop smart home techniques and solutions. As a consequence of the acquired experiences a Smart home model is proposed as a division of four main categories. In relation with the smart home model, we show the essential features a smart environment prediction algorithm should satisfy and a procedure to select relevant information from the model to achieve artificial intelligence based solutions.