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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| KBSE | 2024-03-14 14:50 |
Okinawa | Okinawa Prefectual General Welfare Center (Primary: On-site, Secondary: Online) |
Proposal Of Memory Disorder Support Service Linking Voice Dialogue Agent And ChatGPT Hiro Okamoto, Sinan Chen, Masahide Nakamura (Kobe Univ.), Sachio Saiki (Kochi Univ. of Tech.), Kiyoshi Yasuda (Kobe Univ.)  KBSE2023-74 |
With Japan's declining birthrate and aging population, and the number of people with dementia increasing, the shortage o... [more] | KBSE2023-74 pp.55-60 |
| SS | 2024-03-07 11:00 |
Okinawa | (Primary: On-site, Secondary: Online) |
Exploring Software Upcycling Methods to Support Effective Need Fulfillment Service Development Takuya Nakata, Sinan Chen (Kobe Univ.), Sachio Saiki (Kochi Univ. of Tech.), Masahide Nakamura (Kobe Univ.) SS2023-50 |
To advance the realization of Society 5.0, this research explores efficient methodologies for developing services tailor... [more] | SS2023-50 pp.7-12 |
| HCS | 2024-03-02 13:05 |
Shizuoka | Tokoha University(Shizuoka-Kusanagi Campus) | Use case analysis of an IoT system that provides communication between elderly living alone and their children Naoki Mukawa, Hiromi Okubo, Hiroto Saito, Takafumi Higashi (Tokyo Denki Univ.) HCS2023-94 |
In this study, we investigate a system that shares activity information of the other party using sensors and conversatio... [more] | HCS2023-94 pp.37-42 |
| AI | 2024-03-01 13:40 |
Aichi | Room0221, Bldg.2-C, Nagoya Institute of Technology | Applying Graph Neural Networks and Reinforcement Learning to the Multiple Depot-Multiple Traveling Salesman Problem Dongyeop Kim, Toshihiro Matsui (NITech) AI2023-39 |
In this study, we introduce a method combining Graph Neural Networks (GNN) and reinforcement learning for the Multiple D... [more] | AI2023-39 pp.13-18 |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
CoCot: Learning support system for learning using a concept map Yugo Hayashi, Shigen Shimojo, Tatsuyuki Kawamura (Ritsumei Univ.) |
Research on designing new methods for scaffolding collaborative learners has been conducted in the field of Computer-Sup... [more] | |
| KBSE, SC | 2023-11-18 09:30 |
Miyagi | Sento Kaikan | Proposal of Reminiscence Conversation Service for Elderly People at Home Using Spoken Dialogue Agents and Images Hiro Horie, Sinan Chen, Masahide Nakamura (Kobe Univ.), Kiyoshi Yasuda (OIT) KBSE2023-42 SC2023-25 |
In recent years, the number of elderly people living at home and patients with dementia has been increasing along with t... [more] | KBSE2023-42 SC2023-25 pp.45-50 |
| 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 |
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| 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 |
| 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 |
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| 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 |
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| 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 |
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| 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 |
| SC | 2023-03-17 15:40 |
Tokyo | NII (Primary: On-site, Secondary: Online) |
Experimental Evaluation of Stress Relief Service for Elderly People at Home Using Personalized Videos Hiro Horie, Sinan Chen, Masahide Nakamura (Kobe Univ.), Kiyoshi Yasuda (OIT) SC2022-48 |
Our research group is engaged in the research and development of a system to support the elderly at home. In a previous ... [more] | SC2022-48 pp.55-60 |
| NLP, MSS | 2023-03-16 15:05 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Evaluation of Cooperative Evacuation Guidance Methods for Large-Scale Events Chihiro Yamada, Atsuo Ozaki (OIT) MSS2022-88 NLP2022-133 |
In recent years, natural disasters such as earthquakes have been increasing in many parts of the world. Therefore, effec... [more] | MSS2022-88 NLP2022-133 pp.122-125 |
| NLP, MSS | 2023-03-17 10:00 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Development and Evaluation of A Leader Based Swarm Guidance Algorithm Inspired by Farthest Agent Targeting Method Kei Akiguchi, Masaki Ogura, Aiyi Li, Naoki Wakamiya (Osaka Univ.) MSS2022-94 NLP2022-139 |
We consider the problem of guiding and controlling a multi-agent system. We assume that an external agent with an attrac... [more] | MSS2022-94 NLP2022-139 pp.150-155 |
| RCC, ISEC, IT, WBS | 2023-03-14 13:00 |
Yamaguchi | (Primary: On-site, Secondary: Online) |
On Reward Distribution in Reinforcement Learning of Multi-Agent Surveillance Systems with Temporal Logic Specifications Keita Terashima, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) IT2022-81 ISEC2022-60 WBS2022-78 RCC2022-78 |
In multi-agent systems, it is important to design a reward distribution method based on the contribution of agents for e... [more] | IT2022-81 ISEC2022-60 WBS2022-78 RCC2022-78 pp.86-90 |
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