2018年度人工知能学会全国大会(第32回)

講演情報

口頭発表

一般セッション » [一般セッション] 13.AI応用

[2M2] AI応用-産業応用(3)

2018年6月6日(水) 13:20 〜 14:40 M会場 (2F アメジストホール鳳凰)

座長:大西 貴士(NEC/産総研)

13:20 〜 13:40

[2M2-01] Utilizing deception information for dialog management of doctor-patient conversations.

〇Tung The Nguyen1, Koichiro Yoshino1, Sakriani Sakti1, Satoshi Nakamura1 (1. Graduate School of Information Science, Nara Institute of Science and Technology)

キーワード:POMDP, Reinforcement Learning, Multi-modal

Almost all of existing negotiation systems assume that their interlocutors (the user) are telling the truth. However, in negotiations, participants can tell lies to earn a profit. In this research, we proposed a negotiation dialog management system that detects user's lies and designed a dialog behavior on how should the system react with. As a typical case, we built a dialog model of doctor-patient conversation on living habits domain. We showed that we can use partially observable Markov decision process (POMDP) to model this conversation and use reinforcement learning to train the system's policy.