Towards a general framework for an observation and knowledge based model of occupant behaviour in office buildings
Artificial Intelligence
2015-10-08 v1 Computers and Society
Probability
Abstract
This paper proposes a new general approach based on Bayesian networks to model the human behaviour. This approach represents human behaviour withprobabilistic cause-effect relations based not only on previous works, but also with conditional probabilities coming either from expert knowledge or deduced from observations. The approach has been used in the co-simulation of building physics and human behaviour in order to assess the CO 2 concentration in an office.
Keywords
Cite
@article{arxiv.1510.01970,
title = {Towards a general framework for an observation and knowledge based model of occupant behaviour in office buildings},
author = {Khadija Tijani and Dung Ngo and Stephane Ploix and Benjamin Haas and Julie Dugdale},
journal= {arXiv preprint arXiv:1510.01970},
year = {2015}
}
Comments
IBPC 2015 Turin , Jun 2015, Turin, Italy. 2015