Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MSS, CAS, IPSJ-AL [detail] |
2023-11-16 16:30 |
Okinawa |
|
Deep Reinforcement Learning for Multi-Agent Systems with Temporal Logic Specifications Keita Terashima, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2023-70 MSS2023-40 |
In multi-agent systems, the challenge is how a group of agents collaborate to achieve a common goal. In our previous wor... [more] |
CAS2023-70 MSS2023-40 pp.54-58 |
HCS, CNR |
2023-11-06 15:30 |
Tokyo |
Kogakuin University (Primary: On-site, Secondary: Online) |
Effect of Assertive Feedback from a Job Interview Training Agent Nao Takeuchi, Tomoko Koda (OIT), Miho Hotta (KINDAI) CNR2023-25 HCS2023-87 |
In this study, we developed an interview training system in which a virtual agent provides feedback on improvements in i... [more] |
CNR2023-25 HCS2023-87 pp.96-101 |
NLP, CAS |
2023-10-07 10:20 |
Gifu |
Work plaza Gifu |
An Attempt to Design an Artificial School Class Game for a Psychological Experiment on Bullying Ryuto Ogata, Aya Tsurumaki (Niigata Univ.), Kentaro Tani (Niigata University of Health and Welfare), Koji Anazawa (Rounexy Corp.), Tsunehiko Tanaka, Tatsuya Yamazaki, Yoshinobu Maeda (Niigata Univ.) CAS2023-50 NLP2023-49 |
Bullying is a serious social problem that may lead to suicide. To solve it, an artificial school class games have devel... [more] |
CAS2023-50 NLP2023-49 pp.90-95 |
AI |
2023-09-12 14:15 |
Hokkaido |
|
Examination and Evaluation of Robot-Guided Evacuation Method Considering Congestion at Stairs Masafumi Hombe, Takahiro Uchiya (Nitech) AI2023-1 |
Evacuation guidance is one response that is taken when a disaster occurs. Currently, humans are in charge of evacuation ... [more] |
AI2023-1 pp.1-6 |
AI |
2023-09-12 14:35 |
Hokkaido |
|
Mixed Traffic Simulation of Personal Mobility Vehicles and Pedestrians Using Social Force Model Naoki Akiyama, Hideki Fujii, Shinobu Yoshimura (The Univ. of Tokyo) AI2023-2 |
In recent years, personal mobility vehicles, such as Segway and electric scooter, have attracted attention as a new mean... [more] |
AI2023-2 pp.7-10 |
AI |
2023-09-12 15:15 |
Hokkaido |
|
A Study on the Implementation of Cooperative CAVs by Sharing the Observation Information Using Simulations and Considerations Based on Qualitative Evaluation Ken Matsuda (Graduate School of FUN), Ei-Ichi Osawa (FUN) AI2023-4 |
This study focuses on cooperative connected autonomous vehicles (cooperative CAVs). This research aims to propose a simu... [more] |
AI2023-4 pp.19-24 |
AI |
2023-09-13 09:20 |
Hokkaido |
|
Designing Synthetic Traffic Management Policies based on Parallel MASS Naoki Sugie, Hiromitsu Hattori (Ritsumeikan Univ.) AI2023-12 |
The interaction between the urban transportation environment and human mobility is a complex phenomenon, and solving the... [more] |
AI2023-12 pp.60-65 |
AI |
2023-09-12 14:15 |
Hokkaido |
|
Agent Strategy Introduced Dynamic Price Adjustment by Transaction Status and Statistics for Supply Chain Management Ryoga Miyajima, Katsuhide Fujita (TUAT) AI2023-14 |
Automatic negotiation is attracting attention as a means of agreement-making in multi-agent systems. The International A... [more] |
AI2023-14 pp.72-76 |
AI |
2023-09-12 17:30 |
Hokkaido |
|
Logical Model of Autonomous Agents based on Non-classical Logic Naoyuki Nide (NWU) AI2023-23 |
BDI logic is a logic system used to formalize the BDI model, known as the model of autonomous agents. It is based on cla... [more] |
AI2023-23 pp.128-133 |
AI |
2023-09-12 14:15 |
Hokkaido |
|
A Study of Distributed Constraint Optimization for Publish/Subscribe Messaging Platforms Toshihiro Matsui (Nitech) AI2023-27 |
Optimization problems and solution methods on multiagent systems have been studied as basis of distributed resource allo... [more] |
AI2023-27 pp.157-160 |
AI |
2023-09-12 14:35 |
Hokkaido |
|
Cooperative Agents for Federated Learning of Neural Machine Translation Kantaro Kitagawa (Ritsumeikan Univ), Zhang Yuwang, Yohei Murakami (Ritsumeikan Univ) AI2023-28 |
Accurate neural machine translation requires large amounts of high-quality bilingual data, however due to the copyright ... [more] |
AI2023-28 pp.161-166 |
MVE |
2023-09-07 14:15 |
Osaka |
(Primary: On-site, Secondary: Online) |
A study on the emotional expression of virtual agents providing punishment and reward for behavior modification Keishi Tainaka, Tatsuya Kobayashi (KDDI Research) MVE2023-18 |
In this study, we aim to modify the user's behavior by having a virtual agent (VA) punish and reward the user with a com... [more] |
MVE2023-18 pp.21-26 |
MVE |
2023-09-08 14:45 |
Osaka |
(Primary: On-site, Secondary: Online) |
Investigation of an acupressure robot based on respiratory status. Kuya Moriyama, Naoki Kammaki, Tomoko Yonezawa (Kansai Univ.) MVE2023-19 |
This study developed a massage system that estimates the timing of pressing and releasing based on the user’s breathing ... [more] |
MVE2023-19 pp.27-32 |
MVE |
2023-09-08 15:10 |
Osaka |
(Primary: On-site, Secondary: Online) |
Interview dialogue system based on the evaluation grid method using large-scale language models Daisuke Miyajima, Fan Zhang, Masashi Sugimoto, Kanon Sasaki, Taisei Kitano (Kwansei Gakuin Univ.), Sho Hashimoto (Seinan Gakuin univ./Kwansei Gakuin Univ.), Noriko Nagata (Kwansei Gakuin Univ.) MVE2023-20 |
The individual interview method using the evaluation grid method is known as a method for structurally understanding use... [more] |
MVE2023-20 pp.33-38 |
HCS |
2023-08-26 14:30 |
Hyogo |
(Primary: On-site, Secondary: Online) |
SPARKIT: A Multi-Agent Mind-Map Generation System for Idea Generation Masaki Ishizaka (AGU), Akihito Taya (UTokyo), Yoshito Tobe (AGU) HCS2023-54 |
The demand for novel ideas in a wide range of fields, such as product development, marketing, and academic research, has... [more] |
HCS2023-54 pp.64-69 |
SS, KBSE, IPSJ-SE [detail] |
2023-07-22 11:00 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Extracting User Needs for Personalized Smart Services Using Dialogue Agent with LLM Takuya Nakata, Sinan Chen (Kobe Univ.), Sachio Saiki (Kochi Univ. of Tech.), Masahide Nakamura (Kobe Univ.) SS2023-19 KBSE2023-30 |
Research on service personalization involves approaches such as machine learning and dialogue agents, but the explainabi... [more] |
SS2023-19 KBSE2023-30 pp.104-109 |
MSS, CAS, SIP, VLD |
2023-07-07 09:30 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Proposal and Evaluation of Distributed Formation Method based on a Cyclic Pursuit Strategy Anna Fujioka, Masaki Ogura, Naoki Wakamiya (Osaka Univ.) CAS2023-15 VLD2023-15 SIP2023-31 MSS2023-15 |
A system consisting of a large number of agents that make decisions autonomously is called a multi-agent system. These s... [more] |
CAS2023-15 VLD2023-15 SIP2023-31 MSS2023-15 pp.72-77 |
MVE, IPSJ-HCI, IPSJ-EC, VRSJ, ITE-HI, HI-SIG-DeMO |
2023-05-31 13:30 |
Tokyo |
(Primary: On-site, Secondary: Online) |
Effect of Agents' Number and Behaviors in VR Disaster Evacuation Drill Naoki Matsumura, Kensuke Sugihara, Tomoko Yonezawa (Kansai Univ.) MVE2023-3 |
This study aims to build effective drill software by combining a virtual simulation of the disaster and that of multiple... [more] |
MVE2023-3 pp.13-18 |
PRMU, IPSJ-CVIM |
2023-05-18 14:15 |
Aichi |
(Primary: On-site, Secondary: Online) |
Streamable gesture generators for low-latency gesture generation Yuna Mitsubayashi, Naoshi Kaneko, Kazuhiko Sumi (Aoyama Gakuin Univ.) PRMU2023-4 |
Currently, conversational agents such as interactive robots are developing remarkably, and not only their dialogue respo... [more] |
PRMU2023-4 pp.16-21 |
ET |
2023-05-13 13:35 |
Online |
Online |
Can Metaverse Create Effective and Effectual Education/Learning Environment? Toyohide Watanabe (NISRI) ET2023-2 |
The objective in Metaverse is to construct another activity space virtually, different from our real space, and also mak... [more] |
ET2023-2 pp.8-13 |