エビナ　タケシ   EBINA TAKESHI   海老名　剛    所属   明治大学  商学部    職種   専任教授
言語種別	英語
発行・発表の年月	2021/09
形態種別	学術雑誌
査読	査読あり
標題	"Approaching the Social Dilemma of Autonomous Vehicles with a General Social Welfare Function", Engineering Applications of Artificial Intelligence
執筆形態	共著(筆頭者)
掲載誌名	Engineering Applications of Artificial Intelligence
掲載区分	国外
出版社・発行元	Elsevier
巻・号・頁	104,pp.104390
担当区分	筆頭著者,責任著者
著者・共著者	Takeshi Ebina and Keita Kinjo
概要	We consider the social dilemma related to the trolley problem in ethics regarding the driving behavior of an autonomous vehicle (AV) when there are passengers in the AV and pedestrians on the street. We introduce a general social welfare function (SWF) encompassing the three types of Bentham- ($\rho=0$), Nash- ($\rho\rightarrow1$), and Rawls-type ($\rho\rightarrow\infty$) SWFs as a special case. $\rho$ represents the inequality aversion. We first demonstrate that the optimal solution continuously and monotonically moves from $\rho=0$ to $\rho\rightarrow\infty$. This implies that the optimal solutions involving the Bentham- and Rawls-type SWFs are extreme solutions, whereas solutions involving the Nash-type SWF can be intermediate. Second, we discuss the applicability of our results worldwide. We confirm setting that $\rho=0$ is preferred in the U.S., Canada, and some Western European countries, whereas setting $\rho>0$ is preferred in some African and Asian countries.
researchmap用URL	https://researchmap.jp/ebinatakeshi2010