# Dynamic Bayesian Networks to simulate occupant behaviours in office buildings related to indoor air quality

arXiv: https://arxiv.org/abs/1605.05966 · HTML: https://mlsanity.com/paper/1605.05966/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 May 2016.

## Built on by (most cited first, 1 of 1)

- [ArchABM: an agent-based simulator of human interaction with the built environment. CO2 and viral load analysis for indoor air quality](https://mlsanity.com/paper/2111.01484/) (2021)

## Abstract (arXiv)

This paper proposes a new general approach based on Bayesian networks to model the human behaviour. This approach represents human behaviour with probabilistic cause-effect relations based on knowledge, but also with conditional probabilities coming either from knowledge or deduced from observations. This approach has been applied to the co-simulation of the CO2 concentration in an office coupled with human behaviour.