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 |
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 |
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 |
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 |
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 |
RCC, ISEC, IT, WBS |
2023-03-15 09:30 |
Yamaguchi |
(Primary: On-site, Secondary: Online) |
Design Using Sparse Optimization of Consensus Dynamics in High-Order Multi-Agent Systems Ryosuke Adachi, Yuji Wakasa (Yamaguchi Univ.) IT2022-107 ISEC2022-86 WBS2022-104 RCC2022-104 |
This work considers the consensus problem of multi-agent systems with high-order dynamics. When the dynamics of each age... [more] |
IT2022-107 ISEC2022-86 WBS2022-104 RCC2022-104 pp.248-250 |
RCC, ISEC, IT, WBS |
2023-03-15 09:55 |
Yamaguchi |
(Primary: On-site, Secondary: Online) |
Control of Multi-robot Systems Using A Future Map Aki Matsutaka (Nagoya Univ.), Shun-ichi Azuma (Kyoto Univ.), Ryo Ariizumi, Toru Asai (Nagoya Univ.) IT2022-108 ISEC2022-87 WBS2022-105 RCC2022-105 |
This research was presented at "the 66th Conference of the Institute of Systems, Control and Information Engineers" and ... [more] |
IT2022-108 ISEC2022-87 WBS2022-105 RCC2022-105 pp.251-256 |
AI, JSAI-KBS, JSAI-SAI, JSAI-DOCMAS, IPSJ-ICS (Joint) |
2023-03-11 15:30 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Multi-Agent Simulation Reflecting Human Travel Network with Small-World Nature Ryoya Watanabe, Fumito Ihara, Daiki Takamura, Takumi Sugiura, Naoki Wakabayashi, Daiki Kishimoto, Takashi Kawamura, Satoshi Kurihara (Keio Univ.) AI2022-50 |
Since human travel and contact cause infectious phenomena, it is crucial to understand the impact of travel networks on ... [more] |
AI2022-50 pp.13-18 |
EST |
2023-01-27 10:10 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Research on Dynamic Grouping System for STEAM Education
-- Effectiveness verification with GPS-equipped tablet devices -- Aya Kojima, Hideaki Kimura (Chubu Univ.) EST2022-91 |
In recent years, due to the accelerating progress of computer performance, research and development of systems that link... [more] |
EST2022-91 pp.88-91 |
ICTSSL, CAS |
2023-01-27 10:55 |
Tokyo |
TBD (Primary: On-site, Secondary: Online) |
Simulation analysis of the influence of travel behavior on residential choice Shima Takagi, Tessei Morisawa, Nao Ito (NIT, Toyama College) CAS2022-81 ICTSSL2022-45 |
In recent years, compact city policy has been focused for sustainable urban development in a city with declining birthra... [more] |
CAS2022-81 ICTSSL2022-45 pp.95-98 |
AI |
2022-12-21 16:50 |
Fukuoka |
|
Distributed Action Planning and Execution with fluctuated movement for Iterative Multi-agent Path Planning Yuki Miyashita (Shimizu Corp.), Tomoki Yamauchi, Toshiharu Sugawara (Waseda Univ) AI2022-46 |
This study proposes a distributed planning method with asynchronous execution for the multi-agent pick up and delivery (... [more] |
AI2022-46 pp.74-79 |
HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa |
Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
A Multi-Agent Simulation Model for individual purchasing behavior & shortages
-- Multi-agent learning on networks under uncertain information -- Arata Maeda, Takashi Takekawa (Kogakuin Univ.) |
Information about the decrease in the supply of daily necessities during the corona situation was widely discussed. As a... [more] |
|