Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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] |
|
RCC, ITS, WBS |
2022-12-13 14:45 |
Shiga |
Ritsumeikan Univ. BKC (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Cloud-mediated self-triggered control of a linear multi-agent system Takumi Namba, Kiyotsugu Takaba (Ritsumeikan Univ.) WBS2022-37 ITS2022-13 RCC2022-37 |
In this presentation, we propose a self-triggered synchronization control method of a general high-order linear multi-ag... [more] |
WBS2022-37 ITS2022-13 RCC2022-37 pp.19-20 |
RCC, ITS, WBS |
2022-12-14 14:45 |
Shiga |
Ritsumeikan Univ. BKC (Primary: On-site, Secondary: Online) |
Characterization of consensus value in consensus control driven by value exchange Daiki Sugiyama (Nagoya Univ.), Shun-ichi Azuma (Kyoto Univ.), Ryo Ariizumi, Toru Asai (Nagoya Univ.) WBS2022-50 ITS2022-26 RCC2022-50 |
This paper deals with consensus control in multi-agent systems driven by value exchange. In this system, agents own toke... [more] |
WBS2022-50 ITS2022-26 RCC2022-50 pp.89-92 |
CAS, MSS, IPSJ-AL [detail] |
2022-11-17 15:50 |
Kochi |
(Primary: On-site, Secondary: Online) |
White Hat Bots Preventing the Spread of Malicious Botnets Ryutarou Matsumoto, Shingo Yamaguchi (Yamaguchi Univ.) CAS2022-44 MSS2022-27 |
This paper formulates a problem of building a firewall to stop spreading a malicious botnet using a given number
of whi... [more] |
CAS2022-44 MSS2022-27 pp.38-41 |
AI |
2022-09-16 13:30 |
Shizuoka |
(Primary: On-site, Secondary: Online) |
Temporal Modeling of Players for Multi-agent Coordination in Non-Cooperative Game Junjie Zhong, Toshiharu Sugawara (Waseda Univ.) AI2022-26 |
Multi-agent interaction structures that contain mixed cooperative-competitive relationships appear in many realistic sit... [more] |
AI2022-26 pp.48-53 |
AI |
2022-09-16 13:50 |
Shizuoka |
(Primary: On-site, Secondary: Online) |
Verification of the Effectiveness of Complex Traffic Control Policies based on Multi-Agent Simulation Naoki Sugie, Hiromitsu Hattori (Ritsumeikan Univ.) AI2022-27 |
The interplay between the urban transportation environment and people's mobility is a complex phenomenon, and solving th... [more] |
AI2022-27 pp.54-57 |
SAT, RCS (Joint) |
2022-08-26 12:05 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Multi-Agent Deep Q-Learning based Inter-Cell Interference Coordination for Cellular Systems Liu Yuchen, Chang Yuyuan, Fukawa Kazuhiko (Tokyo Tech) RCS2022-119 |
In small cell systems, inter-cell interference (ICI) can severely degrade the overall system capacity. To alleviate ICI,... [more] |
RCS2022-119 pp.126-131 |
MWPTHz, EST, MW, EMT, OPE, IEE-EMT [detail] |
2022-07-19 10:10 |
Hokkaido |
Asahikawa Civic Culture Hall (Primary: On-site, Secondary: Online) |
Research on Dynamic Grouping System for STEAM Education Aya kojima, Hideaki Kimura (Chubu Univ.) EMT2022-9 MW2022-33 OPE2022-12 EST2022-10 MWPTHz2022-7 |
In recent years, due to the accelerating progress of computer performance, research and development of systems that link... [more] |
EMT2022-9 MW2022-33 OPE2022-12 EST2022-10 MWPTHz2022-7 pp.9-12 |
ICTSSL |
2022-05-27 15:30 |
Toyama |
University of Toyama (Primary: On-site, Secondary: Online) |
Evaluation of Need for Bridges in Evacuation Using Multi-Agent Simulation
-- A Case Study of Namie Town in Fukushima -- Munenari Inoguchi, Seishu Suzaki (Univ. of Toyama) ICTSSL2022-7 |
In general, the necessity of bridges is often evaluated by the cost-benefit ratio, and the importance of use in the even... [more] |
ICTSSL2022-7 pp.34-38 |
AI, JSAI-SAI, JSAI-KBS, JSAI-DOCMAS, IPSJ-ICS (Joint) |
2022-03-12 09:00 |
Hokkaido |
WSSIT2022 (Primary: On-site, Secondary: Online) |
A Road Traffic Light Control System that Considers the Schedule and Urgency of Drivers Jieshuo Zhang, Kazuhiko Iwase, Tomoaki Takemura, Shun Higashikawa, Shoko Abe, Tomoyuki Ohkubo, Hisashi Hayashi (AIIT) AI2021-26 |
In recent years, road traffic signal control systems have been devised in various ways to alleviate traffic congestion. ... [more] |
AI2021-26 pp.1-6 |
IT, ISEC, RCC, WBS |
2022-03-10 14:15 |
Online |
Online |
Distributed Online Optimization under Inequality Constraints on Directed Open Multi-agent Systems Riki Sawamura, Naoki Hayashi, Masahiro Inuiguchi (Osaka Univ.) IT2021-108 ISEC2021-73 WBS2021-76 RCC2021-83 |
Distributed optimization in multi-agent systems has attracted attention in various fields. In this study, we consider a ... [more] |
IT2021-108 ISEC2021-73 WBS2021-76 RCC2021-83 pp.150-154 |
KBSE |
2022-03-10 10:45 |
Online |
Online (Zoom) |
Multi-agent Simulation to Predict Schedule Risks in Student's projects Fumihiro Kumeno (NIT) KBSE2021-52 |
We have conducted a software development project course with real clients; non-profit organizations of local community, ... [more] |
KBSE2021-52 pp.66-71 |
SeMI, IPSJ-MBL, IPSJ-UBI |
2022-03-07 14:25 |
Online |
Online |
Non-Backtracking Consensus Algorithm for Sensor Networks Akihito Taya (Aoyama Gakuin Univ.) SeMI2021-86 |
This paper proposes a non-backtracking consensus algorithm for sensor networks. By focusing on the amount of information... [more] |
SeMI2021-86 pp.19-24 |
ICTSSL, CAS |
2022-01-21 15:40 |
Online |
Online |
Study on Regional Income Gaps Using Multi-Agent Simulation Akihiro Murakami, Nao Itou (NITT) CAS2021-72 ICTSSL2021-49 |
In recent years, regional income gaps have become a major issue around the world. Since some studies have shown that wid... [more] |
CAS2021-72 ICTSSL2021-49 pp.84-88 |
IN, NS, CS, NV (Joint) |
2021-09-09 14:30 |
Online |
Online |
[Invited Lecture]
A Proposal and Implementation of Adaptive Distributed Compressed Sensing with Cooperative Optimization among Edge Devices Masatoshi Sekine, Kengo Okano, Satoshi Ikada (OKI) NS2021-64 |
In recent years, monitoring systems that utilize IoT have become important in monitoring social infrastructure and facto... [more] |
NS2021-64 pp.42-47 |
SWIM, SC |
2021-08-27 10:25 |
Online |
Online |
Combining Multiagent Reinforcement Learning and Discrete Event Modeling for Pathfinding on a Non-Grid Graph Shiyao Ding (Kyoto Univ.), Hideki Aoyama (Panasonic), Donghui Lin (Kyoto Univ.) SWIM2021-15 SC2021-13 |
In this report, we study a new multiagent path finding (MAPF) problem where multiple agents move on a non-grid graph wit... [more] |
SWIM2021-15 SC2021-13 pp.13-17 |
RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-14 16:35 |
Online |
Online |
[Invited Talk]
Optimal Control of Multi-Agent Systems: Surveillance Problem and Vehicle Platooning Koichi Kobayashi (Hokkaido Univ.) RCC2021-29 NS2021-39 RCS2021-84 SR2021-27 SeMI2021-15 |
In this talk, our results on control of multi-agent systems are introduced. First, the surveillance problem is introduce... [more] |
RCC2021-29 NS2021-39 RCS2021-84 SR2021-27 SeMI2021-15 p.36(RCC), p.38(NS), p.38(RCS), p.41(SR), p.20(SeMI) |
TL |
2021-07-03 16:20 |
Online |
Online |
Significance of Classroom "Noises" in Autonomous Mutual Learning Yasunari Harada, Akatsuka Yuya (Waseda U.), Lisa Nabei (Tokai U.), Yasushi Tsubota (KITech), Miwa Morishita (Kobe Gakuin University) TL2021-5 |
The authors have collected audio and video recordings of students interacting among themselves in tasks intended to help... [more] |
TL2021-5 pp.15-19 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2021-06-28 13:50 |
Online |
Online |
Simplification of Average Consensus Algorithm in Distributed HALS Algorithm for NMF Keiju Hayashi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NC2021-3 IBISML2021-3 |
Nonnegative Matrix Factorization (NMF) is the process of approximating a given nonnegative matrix by the product of two ... [more] |
NC2021-3 IBISML2021-3 pp.15-22 |
NLP, MSS (Joint) |
2021-03-15 13:00 |
Online |
Online |
Proposal of Novel Distributed Learning Algorithms for Multi-Neural Networks Kazuaki Harada, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2020-58 |
A method for multiple neural networks (NNs) with the same structure to learn multiple sets of training data collected at... [more] |
NLP2020-58 pp.17-22 |