Dynamic Bayesian Networks to simulate occupant behaviours in office buildings related to indoor air quality. (arXiv:1605.05966v1 [cs.AI])

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.

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