Prediction of Humans' Activity for Learning the Behaviors of Electrical Appliances in an Intelligent Ambient Environment
| Title | Prediction of Humans' Activity for Learning the Behaviors of Electrical Appliances in an Intelligent Ambient Environment |
| Publication Type | Conference Paper |
| Year of Publication | 2010 |
| Authors | Gil-Quijano, Javier, Sabouret, Nicolas |
| Conference Name | Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02 |
| Publisher | IEEE Computer Society |
| Conference Location | Washington, DC, USA |
| ISBN Number | 978-0-7695-4191-4 |
| Keywords | Ambient intelligence, Human activity prediction, Multi-agent simulation, pubcrawl, reinforcement learning, remanence, Resiliency |
| Abstract | In this paper we propose a mechanism of prediction of domestic human activity in a smart home context. We use those predictions to adapt the behavior of home appliances whose impact on the environment is delayed (for example the heating). The behaviors of appliances are built by a reinforcement learning mechanism. We compare the behavior built by the learning approach with both a merely reactive behavior and a state-remanent behavior. |
| URL | http://dx.doi.org/10.1109/WI-IAT.2010.283 |
| DOI | 10.1109/WI-IAT.2010.283 |
| Citation Key | gil-quijano_prediction_2010 |