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Towards a general framework for an observation and knowledge based model of occupant behaviour in office buildings

机译：对办公楼中占用行为的观察和知识模型的一般框架

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摘要

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 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 CO2 concentration in an office.
机译：本文提出了一种基于贝叶斯网络的新方法来模拟人类行为。这种方法不仅基于以前的作品，还基于概率造成关系，而且还具有来自专家知识或从观察中推断出来的条件概率。该方法已被用于建筑物物理和人类行为的共模，以评估办公室中的CO2浓度。

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