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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, MSS | 2024-03-13 14:35 |
Misc. | Kikai-Shinko-Kaikan Bldg. | Multi Agent Simulation Speed Up Method for Emergency Vehicle Route Selection Daiki Akutagawa, Atsuo Ozaki (OIT)  MSS2023-78 NLP2023-130 |
In recent years, the number of incidents such as accidents, emergencies, fires and disasters has increased and the numbe... [more] | MSS2023-78 NLP2023-130 pp.38-41 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-03 17:00 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Multi-agent reinforcement learning based control method for large-scale crowd movement on Mojiko Fireworks Festival dataset Kazuya Miyazaki, Masato Kiyama, Motoki Amagasaki, Toshiaki Okamoto (Kumamoto Univ.) IBISML2023-45 |
The importance of human flow guidance is increasing in response to accidents at events. In recent years, some research h... [more] | IBISML2023-45 pp.36-43 |
| 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 |
| NS, IN (Joint) |
2024-03-01 11:35 |
Okinawa | Okinawa Convention Center | Application of a Deep Reinforcement Learning Algorithm to Virtual Machine Migration Control in Multi-Stage Information Processing Systems Yuki Kojitani (Okayama Univ.), Kazutoshi Nakane (Nagoya Univ.), Yuya Tarutani (Okayama Univ.), Celimuge Wu (UEC), Yusheng Ji (NII), Tokumi Yokohira (Okayama Univ.), Tutomu Murase (Nagoya Univ.), Yukinobu Fukushima (Okayama Univ.) IN2023-87 |
This paper tackles a virtual machine (VM) migration control problem to maximize the progress (accuracy) of information p... [more] | IN2023-87 pp.130-135 |
| SIP, IT, RCS | 2024-01-19 10:20 |
Miyagi | (Primary: On-site, Secondary: Online) |
Coordinated Multi-Point with Hierarchical Active Inference of Position and Propagation Channel Tatsuya Otoshi, Masayuki Murata (Osaka Univ.) IT2023-63 SIP2023-96 RCS2023-238 |
This study focuses on cooperative beamforming among base stations in wireless communication technology and proposes a ne... [more] | IT2023-63 SIP2023-96 RCS2023-238 pp.181-186 |
| MSS, CAS, IPSJ-AL [detail] | 2023-11-16 14:00 |
Okinawa | Study of Distributed Cooperative Search Model for Crisis Management and its Initial Evaluation Mayuko Asano, Ozaki Atsuo (OIT) CAS2023-64 MSS2023-34 |
In recent years, natural disasters have become increasingly severe both in Japan and abroad. In the event of a disaster,... [more] | CAS2023-64 MSS2023-34 pp.23-26 |
|
| 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 |
| 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 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 |
|
| 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 |
| 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 |
| 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 |
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