A STUDY ON PROBABILISTIC MODEL OF PREFERENCE FOR SPACE USING BAYESIAN NETWORK : A case of planning for special exhibition Part2
Shinsaku MUNEMOTO · Journal of Architecture and Planning (Transactions of AIJ) · 2007
The purpose of this paper is to provide the method for the construction of the probabilistic model of preference for space. Bayesian networks are expected to construct probabilistic models including an uncertainty of human behavior for prediction and decision-making. We applied Bayesian networks to construct graphical models that represented the correlation between preference for space and spatial elements of which exhibition was composed. The difference of preference for space was easily understood by visual analysis of graph structures. By executing probabilistic reasoning of Bayesian networks on these models, furthermore we deduced the combination of spatial elements that are expected to be preferred in high probability.