@techreport{oai:ipsj.ixsq.nii.ac.jp:00217393,
 author = {磯田, 明朗 and 出久根, 芳樹 and 村上, 祐子 and Aro, Isoda and Yoshiki, Izukune and Yuko, Murakami},
 issue = {10},
 month = {Mar},
 note = {本研究は，対話の文脈・状況に基づくリアルタイムな応答を強化学習アルゴリズムから構築し，bot への「共感」の実装可能性を探るものである．介護者役の bot#2 は患者役の bot#1 の尊厳を守るべく，ケアの倫理に基づき「患者にとっての現実」に沿って共感し「やさしい嘘をつく (“telling a caring lie”)」．本稿では，対話をゲームと定式化し，bot#2 が認知症患者とその介護者との想定対話カードから，共感に基づく対話カードの選択を学習できるか検証する．, This study explores the possibility of implementing “empathy” in AI bot, through real-time responses based on the context and situation of the dialog, from a reinforcement learning system. The bot#2, playing the role of a caregiver, empathizes with the bot#1 as playing the role of dementia patient's reality, to respect her dignity by “telling a caring lie”, based on the “ethics of care.” In this paper, we will gamify dialogs to examine whether the bot #2 can learn to select appropriate dialog cards based on empathy from the assumed dialog cards between a dementia patient bot and his caregiver.},
 title = {botが「やさしい嘘」をつく場合～強化学習による共感実装の試み～},
 year = {2022}
}