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The Cartographer
Towards a general framework for an observation and knowledge based model of occupant behaviour in office buildings
October 07, 2015 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Khadija Tijani, Dung Ngo, Stephane Ploix, Benjamin Haas, Julie Dugdale
arXiv ID
1510.01970
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.CY,
math.PR
Citations
9
Venue
arXiv.org
Last Checked
4 months ago
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.
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