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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCS | 2024-06-19 14:55 |
Okinawa | (Primary: On-site, Secondary: Online) |
Frequency Block-Dependent Sleep Control of Base Stations Based on Distributed DQN for Improving Energy Efficiency Both in Up and Downlinks Yuma Shishido, Takanori Hara (Tokyo Univ. of Science), Satoshi Suyama (NTT DOCOM), Satoshi Nagata (NTT DOCOMO), Kenichi Higuchi (Tokyo Univ. of Science) |
(To be available after the conference date) [more] | |
| IN, RCS, NV (Joint) |
2024-05-31 14:15 |
Fukuoka | Fukuoka University | A Multi-Agent Reinforcement Learning Deployment Method for Multiple UAVs Jin Nakazato (UTOKYO), Gia Khanh Tran (TokyoTech), Katsuya Suto (UEC)  RCS2024-25 |
Recently, there has been a growing momentum to enhance society using Digital Twins, with numerous studies on related tec... [more] | RCS2024-25 pp.45-50 |
| 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 |
| 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 | 2022-12-14 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 |
| 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 |
| 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 |
| 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 |
| NLP, MSS (Joint) |
2021-03-16 09:40 |
Online | Online | Pinning consensus control of a group of quadrotors modeled by a directed acyclic graph Akinori Sakaguchi, Toshimitsu Ushio (Osaka Univ.) MSS2020-50 |
In this study, we consider a pinning consensus control problem with a given altitude for a group of heterogeneous quadro... [more] | MSS2020-50 pp.33-36 |
| AI | 2020-12-11 10:20 |
Shizuoka | Online and HAMAMATSU ACT CITY (Primary: On-site, Secondary: Online) |
A Preliminary Multi-Agent Reinforcement Learning Approach for Responding Dynamic Traffic in Communication Destination Anonymization Keita Sugiyama, Naoki Fukuta (Shizuoka Univ.) AI2020-10 |
In this paper, we describe our prototype mechanism using the simulation-based multi-agent reinforcement learning for aut... [more] | AI2020-10 pp.46-51 |
| MSS, NLP (Joint) |
2020-03-09 09:50 |
Aichi | (Cancelled but technical report was issued) |
A Distributed Algorithm for Solving Sandberg-Willson Equations Based on Sequential Minimization of Convex Quadratic Functions Masaaki Takeuchi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2019-115 |
We propose a new distributed algorithm for multi-agent networks to solve Sandberg-Willson equations, which are well-know... [more] | NLP2019-115 pp.13-18 |
| MSS, NLP (Joint) |
2020-03-09 10:15 |
Aichi | (Cancelled but technical report was issued) |
A projected consensus-based algorithm for minimizing the maximum error of a system of linear equations with nonnegativity constraints Kosuke Kawashima, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2019-116 |
If a system of linear equations with nonnegativity constraints has a solution then it can be considered as a constrained... [more] | NLP2019-116 pp.19-23 |
| RCC | 2020-01-27 14:10 |
Osaka | Distributed online subgradient method over unbalanced directed graphs Makoto Yamashita, Naoki Hayashi, Takeshi Hatanaka, Shigemasa Takai (Osaka Univ.) RCC2019-72 |
This paper considers a constrained distributed online optimization problem over strongly connected unbalanced directed n... [more] | RCC2019-72 pp.13-18 |
|
| NS, IN, CS, NV (Joint) |
2019-09-05 16:20 |
Miyagi | Research Institute of Electrical Communication, Tohoku Univ. | [Invited Talk]
Toward the Autopoiesis Computing Gen Kitagata (Tohoku Univ.) IN2019-23 |
Autopoiesis is a concept that a component self-organizes and creates itself and it can function alone and also cooperate... [more] | IN2019-23 pp.1-4 |
| CQ | 2019-08-28 16:10 |
Hokkaido | Hakodate arena | Optimal spreading of disaster warnings using VANETs
-- Importance of quick sharing of evacuation information based on the experience of the Great East Japan Earthquake -- Kota Ichikawa, Alberto Gallegos, Taku Noguchi (Ritsumeikan Univ.) CQ2019-87 |
In recent years, the need of Vehicular Ad-hoc Networks (VANETs) during disasters has increased. For example, during the ... [more] | CQ2019-87 pp.153-157 |
| NLP | 2018-08-09 09:55 |
Kagawa | Saiwai-cho Campus, Kagawa Univ. | A Convergence Condition for the Projected Consensus Algorithm on a Network with a Fixed Topology Kosuke Kawashima, Norikazu Takahashi (Okayama Univ.) NLP2018-65 |
This report studies the problem of making the states of all agents in a network converge to the same point in the inters... [more] | NLP2018-65 pp.63-68 |
| NLP | 2018-04-27 14:45 |
Kumamoto | Kumaoto Univ. | A Distributed Algorithm for Multi-Agent Networks to Solve Sandberg-Willson Equations Masaaki Takeuchi, Norikazu Takahashi (Okayama Univ.) NLP2018-23 |
We propose a distributed algorithm for multi-agent networks to solve Sandberg-Willson equations, which are well-known in... [more] | NLP2018-23 pp.111-116 |
| MSS, NLP (Joint) |
2018-03-14 10:45 |
Osaka | Consensus Speed of Multi-agent Systems Modeled by Scale-free Graph Akinori Sakaguchi, Toshimitsu Ushio (Osaka Univ.) NLP2017-109 |
In a pinning consensus problem of multi-agent systems, a consensus speed of a static pinning control is generally bounde... [more] | NLP2017-109 pp.43-46 |
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