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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 91 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
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
KBSE 2021-03-06
13:00
Online Online Efficient Evacuation Support in Mountainous Areas Using UAV
Itsuki Tago, Yasushi Kambayashi (NIT) KBSE2020-43
We have witnessed various natural disasters in many regions. Even though people pay attention to tsunami, land-slides in... [more] KBSE2020-43
pp.54-59
AI 2020-12-11
09:05
Shizuoka Online and HAMAMATSU ACT CITY
(Primary: On-site, Secondary: Online)
An Automated Driving Strategy for Microscopic Road Traffic Using Multi-Agent Deep Reinforcement Learning
Ryota Suwa, Toshiharu Sugawara (Waseda Univ.) AI2020-7
This study proposes a method for interaction-aware automated driving in microscopic road traffic simulations using multi... [more] AI2020-7
pp.34-38
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
KBSE, SC 2020-11-14
09:00
Online Online + Kikai-Shinko-Kaikan Bldg.
(Primary: Online, Secondary: On-site)
Risk prediction in software development project course with real clients
Fumihiro Kumeno (NIT) KBSE2020-23 SC2020-27
We have conducted a software development project course with real clients; non-profit organizations of local community, ... [more] KBSE2020-23 SC2020-27
pp.41-46
ICTSSL, CAS 2020-01-31
15:40
Tokyo   Evacuation behavior simulation in large-scale commercial facilities
Koichiro Daidai, Kyou Takata, Norika Nakamura, Nao Itou (NITT) CAS2019-93 ICTSSL2019-62
In this study, we investigate the effect of the presence of a guide on the evacuation time using a multi-agent simulatio... [more] CAS2019-93 ICTSSL2019-62
pp.149-152
ICTSSL, CAS 2020-01-31
16:00
Tokyo   Study of Multi-Agent Economic Simulation Model Based on Microeconomics
Tomoki Nakamura, Akihiro Murakami, Nao Ito (NITT) CAS2019-94 ICTSSL2019-63
The purpose of this study is to evaluate the effect of neutral currency as a local currency on the economy using multi-a... [more] CAS2019-94 ICTSSL2019-63
pp.153-156
ICTSSL, IN 2019-10-17
10:50
Oita   Comparison of Efficiency between Fixed and Mobile Disaster Information Transmitters
Naoki Kobayashi, Yamazaki Tatsuya (Niigata Univ.), Sato Shosuke (Tohoku Univ.) ICTSSL2019-18 IN2019-32
To promote evacuation at the time of disaster, appropriate local information needs to be certainly transmitted to the ev... [more] ICTSSL2019-18 IN2019-32
pp.11-16
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
CQ 2019-07-18
13:00
Niigata Niigata Univ. [Poster Presentation] Study on Source Allocation in a Local Information Transmitting System for Evacuation Simulation
Naoki Kobayashi, Tatsuya Yamazaki (Niigata Univ.) CQ2019-43
Evacuation simulation has been used as a tool to imitate human actions at the time of disaster. Among many evacuation si... [more] CQ2019-43
pp.45-49
HCS, HIP, HI-SIGCOASTER [detail] 2019-05-17
14:00
Okinawa Okinawa Industry Support Center Comparison between musical ensemble performance by human and one by agents -- Toward multi-agent orchestra --
Satoshi Kawase, Takafumi Kanazawa (Osaka Univ.) HCS2019-21 HIP2019-21
This study investigated the group creativity of musical ensemble performance comparing performances by human and agents,... [more] HCS2019-21 HIP2019-21
pp.165-168
HPB
(2nd)
2019-02-15
16:20
Tokyo   Multi-Agent Simulation of Urban Transportation Considering Weather
Watanabe Taiki (Aoyama Gakuin Univ.), Takeshi Oyama (Toyama Prefectural Univ.), Yu Nakayama, Yoshito Tobe (Aoyama Gakuin Univ.), Kazutoshi Sakakibara (Toyama Prefectural Univ.)
(To be available after the conference date) [more]
CAS, ICTSSL 2019-01-24
10:50
Tokyo Kikai-Shinko-Kaikan Bldg. On the emergence of multiple monies in Yasutomi model caused by inhibition of excessive savings
Hitoshi Takahashi (Niigata Univ.), Nao Ito (Toyama NIT), Yoshinobu Maeda (Niigata Univ.) CAS2018-117 ICTSSL2018-36
Yasutomi model is a multi-agent simulation model that simulates the emergence of money. In this model, agents’ consumpti... [more] CAS2018-117 ICTSSL2018-36
pp.7-10
CAS, ICTSSL 2019-01-25
13:40
Tokyo Kikai-Shinko-Kaikan Bldg. Study of Intimacy Evaluation in Artificial Class Game using Socio Profile Method
Akane Takahashi, Nao Ito (NITT), Yoshinobu Maeda (Niigata Univ.) CAS2018-132 ICTSSL2018-51
Bullying is one of the contemporary social problems, and solutions are being sought from the viewpoints of pedagogy, soc... [more] CAS2018-132 ICTSSL2018-51
pp.79-82
CAS, ICTSSL 2019-01-25
14:00
Tokyo Kikai-Shinko-Kaikan Bldg. Proposal of Economic Simulation Model for Evaluation of Influence of Neutral Money on Economy
Tomoki Nakamura, Ito Nao (NITT), Yoshinobu Maeda (Niigata Univ.) CAS2018-133 ICTSSL2018-52
The purpose of this study is to evaluate the influence of a neutral money as a local currency on economy using multi-age... [more] CAS2018-133 ICTSSL2018-52
pp.83-85
ICD, CPSY, CAS 2018-12-23
13:00
Okinawa   On Reward Sharing for Multi-agent Games Using Deep Reinforcement Learning
Kei Watanabe, Toshihiro Tachibana (Shonan Isnt. of Tech.) CAS2018-107 ICD2018-91 CPSY2018-73
In this paper, we consider a method to realize multi agent system with multiple agents cooperating by deep reinforcement... [more] CAS2018-107 ICD2018-91 CPSY2018-73
pp.109-114
HCGSYMPO
(2nd)

Mie Sinfonia Technology Hibiki Hall Ise A SOM-based self-organizing agents -- Emergence of cooperative and altruistic behavior --
Nobuhito Manome (SoftBank Robotics/The University of Tokyo), Shuji Shinohara (The University of Tokyo), Kouta Suzuki (SoftBank Robotics), Kosuke Tomonaga (SoftBank Robotics/The University of Tokyo), Shunji Mitsuyoshi (The University of Tokyo)
When someone gets involved in one certain task with others, he will adjust his actions according to not only internal fe... [more]
 Results 21 - 40 of 91 [Previous]  /  [Next]  
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