著者
清水 仁 松林 達史 納谷 太 澤田 宏
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会論文誌 (ISSN:13460714)
巻号頁・発行日
vol.34, no.5, pp.wd-B_1-8, 2019-09-01 (Released:2019-09-01)
参考文献数
33

The theme park problem is a platform where methods of guiding visitors to relieve congestion are developed and evaluated by reproducing a crowded theme park on a computer. In the theme park problem, the attraction selection model is an important element in the simulator. In previous studies, multinomial logit model was mainly used for attraction selection. However, when we observed real amusement parks, we found that we can not reproduce the characteristics of waiting time of real attraction by this model. In this research, we propose a multinomial linear model as a model of attraction selection. This model can express the rational behavior of visitors that waits for a while when waiting times of all attractions are too long for them. We showed that this model can reproduce characteristics of waiting time using multiagent simulator (MAS). We also developed a method to estimate the parameters of the proposed model from the aggregated data of the output of MAS. As a result of numerical experiments, it was confirmed that the performance of the parameter estimation was good. The proposed model and method for parameter estimation can be applied not only to the theme park problem but also to various problems related to human behavior of selection.

言及状況

外部データベース (DOI)

はてなブックマーク (1 users, 1 posts)

Twitter (3 users, 4 posts, 9 favorites)

論文が公開されました。まだその研究やってたの?と言われるのが快感です。ごめんまだやります。 https://t.co/Dh3Ll7Mgkr
人工知能学会論文誌でもう一件,主著清水さんの「遊園地におけるアトラクション選択モデルとそのパラメータ推定手法」https://t.co/ZIGSGzhQLJ も採録出版されました.昨年の3月に日経新聞の記事にも取り上げていただいた… https://t.co/6cSG09T5Ne

収集済み URL リスト