ベイジアンネットワークを用いた空間嗜好の確率モデルの研究 : 企画展の展示計画を対象としてその2

概要

論文の詳細を見る
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.
社団法人日本建築学会の論文
2007-08-30