  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.
