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Affiliation Department |
情報工学科 知能情報分野
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Professor |
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Contact information |
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INUZUKA Nobuhiro
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Degree
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Doctor (Engineering) ( Nagoya Institute of Technology )
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Master of Engineering ( Nagoya Institute of Technology )
Research Areas
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Informatics / Intelligent informatics
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Informatics / Database
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Informatics / Theory of informatics
From School
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Nagoya Institute of Technology Faculty of Engineering Graduated
- 1987.03
Country：Japan
From Graduate School
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Nagoya Institute of Technology Graduate School, Division of Engineering Doctor's Course Completed
- 1992.03
Country：Japan
External Career
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Research Fellow of the Japan Society for the Promotion of Science Special researcher of the Japan Society for the Promotion of Science
1990.04 - 1992.03
Country：Japan
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Japan Society for the Promotion of Science, Postdoctoral Fellow for Research Abroad Special researcher of the Japan Society for the Promotion of Science
1994.04 - 1996.03
Country：Japan
Professional Memberships
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The Japanese Association of Student Counseling
2012.01
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Philosophy of Science Society, Japan
2008.04
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Association for Computing Machinery
2005.04
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The Society if Instrument and Control Engineers
2004.04
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Information Processing Society of Japan
2003.04
Research Career
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Knowledge Discovery Algorithms for Analyzing Human Relationships
Grant-in-Aid for Scientific Research
Project Year： 2015.04 - 2019.03
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Development of Student Counseling Record Management System Forcusing Counseling Structure
The Other Research Programs
Project Year： 2011.12 - 2012.07
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Research in Information Technology to Establish Scientific and Reasonable Methodology in Student Counseling
Grant-in-Aid for Scientific Research
Project Year： 2011.05 - 2013.03
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Usability Tests of a Multi-Relational Data Mining Method
JST Comprehensive Support Programs for Creation of Regional Innovation
Project Year： 2010.10 - 2011.03
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Development of a Data Analysis System Based-on Relation Data Mining Methods
JST Comprehensive Support Programs for Creation of Regional Innovation
Project Year： 2009.10 - 2010.03
Papers
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Store Clustering Based on Product Genre Representation in POS Data Reviewed
Yuta Marui,Atsuko Mutoh,Kosuke Shima,Koichi Moriyama,Tohgoroh Matsui,Nobuhiro Inuzuka
Program for 2024 IEEE 13th Global Conference on Consumer Electronics (GCCE) 2024.10
Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)
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Martial Arts Demonstration Evaluation System Using Machine Learning to Reflect the Actual Evaluation Methods of Instructors Reviewed
Takeo Ueda, Kosuke Shima, Atsuko Mutoh, Koichi Moriyama, Tohgoroh Matsui, Nobuhiro Inuzuka
Procedia Computer Science (Prod. KES 2024) 2024.09
Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)
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Enhancing Retrieval Processes for Language Generation with Augumented Queries to Provide Factual Ingormation on Schizophrenia Reviewed International coauthorship
Julien Pierre Edmond Ghali, Kosuke Shima, Atsuko Mutoh, Koichi Moriyama, Nobuhiro Inuzuka
Procedia Computer Science (Prod. KES 2024) 2024.09
Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)
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Learning to Avoid Multiple Moving Obstacles Using Artificial Dangerous Fields
Shohei Yamanaka, Atsuko Mutoh, Kousuke Shima, Koichi Moriyama, Tohgoroh Matsui, Nobuhiro Inuzuka
2024-ICS-215 ( 5 ) 1 - 6 2024.09
Authorship：Last author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)
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Acquisition of Cooperative Behavior Using Curriculum Learning in Geometry Friends
2024-GI-51 ( 21 ) 1 - 7 2024.03
Authorship：Last author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)
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SACEQ: 連続空間における成功確率と収益に基づく安全な強化学習
大橋 宥斗,松井 藤五郎,武藤 敦子,森山 甲一,島 孔介,犬塚 信博
研究報告数理モデル化と問題解決（MPS） 2024-MPS-147 ( 1 ) 1 - 8 2024.02
Language：Japanese Publishing type：Research paper (conference, symposium, etc.) Publisher：情報処理学会
本論文では，連続行動空間を扱うことができる Soft Actor-Critic (SAC) を成功確率と収益に基づく強化学習 (EQ) に拡張する手法を提案する．近年，宇宙や被災地をはじめとした危険な環境においてロボットが突然危険な状況に陥ることを自律的に回避するために，強化学習により危険回避行動を学習する安全な強化学習という枠組みが提案されている．安全な強化学習の手法の一つに，高次元連続観測空間を扱う成功確率と収益に基づく強化学習 (HDEQ) がある．HDEQ は，本来離散空間のみで行えた成功確率と収益に基づく強化学習 (EQ) を拡張した手法であるが，連続行動空間を扱うことができなかった．そこで本論文では，連続観測空間のみならず連続行動空間においても EQ を扱えるよう，連続行動空間を扱うことができる SAC を拡張する．本論文では，この手法を Soft Actor-Critic for EQ (SACEQ) と呼ぶ．危険の回避が必要な環境における実験で，SACEQの効果を確認した．
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Community Activity Model Reflected Community Consciousness
Takuya Sadasue,Kohsuke Shima,Atsuko Mutoh,Koichi,Moriyama,Tohgoroh Matsui,Nobuhiro Inuzuka
2024-MPS-147 ( 4 ) 1 - 6 2024.02
Authorship：Last author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)
In recent years, the weakening of local community bonds has become a societal issue. Moreover, community societies are diverse groups composed of individuals with varying ages and values, and their composition varies depending on the region, such as rural or urban areas. Existing community activity models design the decision-making of agents based on the framework of planned action theory, making it difficult to express the diversity of local communities and their specific characteristics. In this study, we introduce a community consciousness that represents individuals' attitudes towards community into the existing models. Additionally, using the proposed model, we observe and analyze the impact of community consciousness on the formation of community activities. Through this analysis, we contemplate operational strategies to increase community activity participation by engaging individuals with low interest in community activities.
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Game Recommend System Considering Playing Time With Friends
Kazuki Iwadare,Kohsuke Shima,Atsuko Mutoh,Koichi Moriyama,Tohgoroh Matsui,Nobuhiro Inuzuka
2024-MPS-147 ( 6 ) 1 - 6 2024.02
Authorship：Last author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)
Information overload has become a problem because of the rapid development of the Internet, and recommendation systems have attracted attention and research as a solution. The use of game play time data has become mainstream in the gaming field, often focusing on the game play time of a single player and data about the game. However, many recent games require interaction with other players, and it is highly likely that players are influenced by players other than themselves. In this study, we proposed a new game recommendation system based on the relationship between in-game friends and game selection, focusing on co-play time, which is the time spent playing games together with in-game friends. Furthermore, we confirmed the effectiveness of the proposed method through experiments.
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Opinion formation model considering fact-checking on SNS
2024-MPS-147 ( 8 ) 1 - 6 2024.02
Authorship：Last author
In recent years, information exchange through Social Networking Systems (SNS) has become popular, but it has been pointed out that it creates a polarized information environment known as an echo chamber. Prior research has proposed an opinion formation model that mimics SNS, and has shown that the basic structure of SNS promotes the occurrence of echo chambers and polarization of opinions. Although this model assumes political opinions among people with different partisanship, it has been confirmed that in the real world, the echo chamber phenomenon also occurs due to misinformation spread on SNSs. In addition, although fact-checking activities to correct misinformation have been conducted, it is considered possible that corrected information is not shared in an environment where echo chambers are formed. In this study, we propose a model of opinion formation on SNS that takes into account fact-checking and examine the impact of fact-checking in an environment where echo chambers are formed.
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Evaluation System for Martial Arts Demonstration Using Acceleration Sensor Considering Uncertainty of Actual Evaluation Reviewed
Shohei Yamanaka, Atsuko Mutoh, Kousuke Shima, Koichi Moriyama, Tohgoroh Matsui, Nobuhiro Inuzuka
17 ( 1 ) 23 - 28 2024.02
Authorship：Last author Language：Japanese Publishing type：Research paper (scientific journal)
The recent proliferation of smartphones has made it possible for the common user to analyze movements without the use of special devices such as Kinect. A system that uses decision tree learning to evaluate the performance of a martial arts demonstration based on features obtained from the acceleration information of a smartphone attached to the performer's waist has been proposed, but the prediction accuracy of the system is not high. The reasons for this may be that the feature selection method is not appropriate and is not in line with the actual evaluation method of martial arts demonstrations. In the actual evaluation of martial arts demonstrations, which consist of multiple movements, the evaluator intuitively derives a single overall evaluation by summarizing the evaluations for each movements, so it is inappropriate to apply machine learning directly to each movement and the overall evaluation. In the proposed model, we realized a model that is closer to the human evaluation method by using machine learning on noisy labels to calculate the overall evaluation based on the majority vote of each movement evaluation, and confirmed that it can reproduce the evaluator's evaluation with high accuracy in experiments.
Books and Other Publications
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MIT認知科学大事典
中島秀之, 他（ Role： Joint translator）
共立出版 2012.11 （ ISBN:978-4-320-09447-5 ）
Language：jpn Book type：Dictionary, encyclopedia
「認知科学」の全分野にわたって，それぞれの方法論および理論を網羅した世界に類のない事典。認知科学を構成している六つの主要分野：哲学，心理学，神経科学，計算論的知能，言語学，文化・認知・進化の中から470項目を厳選し，それぞれに対して第一級の研究者が執筆にあたっている。
登録者（犬塚）は人工知能関係の８項目程度を翻訳した。
Presentations
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Store Clustering Based on Product Genre Representation in POS Data International conference
2024 IEEE 13th Global Conference on Consumer Electronics (GCCE) 2024.10 IEEE
Event date： 2024.10 - 2024.11
Language：English Presentation type：Oral presentation (general)
Country：Japan
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上田 健生,島 孔介,武藤 敦子,森山 甲一,松井 藤五郎,犬塚 信博
情報処理学会第 86 回全国大会 2024.03 情報処理学会
Event date： 2024.03
Language：Japanese Presentation type：Oral presentation (general)
Venue：神奈川大学 Country：Japan
技能を習得する際に、指導者の評価は重要である。一方で、指導者の助言を得る機会が限られている。そこで本研究では、スマートフォンを用いて、指導者の評価を再現するシステムの開発を目指す。山中らは、加速度データを用いて演舞競技評価システムを開発した。しかし、評価項目によらず動作全体を入力としており、実際の評価における着眼箇所とシステムの評価箇所が異なっていた。本研究では、実際の評価を再現するため、評価項目ごとに着眼箇所の動作のみを用いた機械学習モデルを構築する。実験では、動作全体から着眼箇所のみを用いても同等の精度が得られることを確認し、着眼箇所以外の部分が評価に寄与しないことを示唆する結果を得た。
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階層型クラスタリングを用いた社会ネットワークと選好の関係性の分析利用統
黒柳 風人,島 孔介,武藤 敦子,森山 甲一,松井 藤五郎, 犬塚 信博
情報処理学会第 86 回全国大会 2024.03 情報処理学会
Event date： 2024.03
Language：Japanese Presentation type：Oral presentation (general)
Venue：神奈川大学 Country：Japan
個人が形成する社会ネットワークの構造的属性はその人物の選好と関係している可能性がある。細木らは、ある音楽ジャンルが好きな人の社会ネットワークから得られる次数中心性などの構造的属性を、その音楽ジャンルの特徴量とし、行為者の社会ネットワークと音楽選好の関係性を調査した。しかし分析結果の確認方法が定義されておらず、どの音楽ジャンル同士が社会ネットワークの構造的属性の観点から類似しているのか不明瞭であった。本論文では、特徴量を付与した音楽ジャンルに階層型クラスタリングを用いることで、社会ネットワークの構造的属性が類似した音楽ジャンルの集団を抽出する手法を提案する。
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エージェント間の距離がタスク達成に影響する環境下における報酬の制御
中田瑛，森山甲一，武藤敦子，松井藤五郎，犬塚信博
エージェント間の距離がタスク達成に影響する環境下における報酬の制御 SMASH21 SUMMER SYMPOSIUM
Event date： 2021.09
Language：Japanese Presentation type：Oral presentation (general)
Venue：ソフトウェア科学会
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Estimation of performance evaluation factors by analyzing the centrality in the meeting network International conference
Yuta Mizuno, Atsuko Mutoh, Koichi Moriyama, Tohgoroh Matsui, Nobuhiro Inuzuka
The 35th Annual Conference of the Japanese Society for Artificial Intelligence Japanese Society for Artificial Intelligence
Event date： 2021.06
Language：Japanese Presentation type：Oral presentation (general)
In recent years, some researches aimed at searching for important persons on social networks using the centrality have been focused. In this study, by measuring the correlation between each centrality of the meeting network in the office and various indicators, we clarified the characteristics of each centrality, and estimated the factors for evaluating the performance in the company.
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Curiosity-Driven Search in a Multiagent Reinforcement Learning Problem
Toru Iwashina, Koichi Moriyama, Tohgoroh Matsui, Atsuko Mutoh, Nobuhiro Inuzuka
The 35th Annual Conference of the Japanese Society for Artificial Intelligence Japanese Society for Artificial Intelligence
Event date： 2021.06
Language：English Presentation type：Oral presentation (general)
Reinforcement learning has been shown to be capable of
dealing with complex control problems, e.g., automated driving. In the real world, on the other hand, people are not alone but interacting with one another. When we apply reinforcement learning to such a multiagent environment, an agent should find a way to get along with others. To do so, the agent needs to search in its strategy space efficiently. In this work, we apply the curiosity-driven search to a multiagent environment. The curiosity-driven search, which is proposed for single agent scenarios, generates intrinsic rewards that guide the agent in sparse-reward environments. The intrinsic rewards may give a good result also in a multiagent environment where the agents need to find a good combination of actions. We conducted experiments using a predator-prey problem popular in multiagent studies, and found that the learning speed in the early stage of learning was improved compared to the case without the curiosity-driven search. -
Evaluation of martial arts demonstration focusing on motion timing using acceleration data
Shohei Yamanaka, Kousuke Shima, Atsuko Mutoh, Koichi Moriyama, Tohgoroh Matsui, Nobuhiro Inuzuka
The 35th Annual Conference of the Japanese Society for Artificial Intelligence Japanese Society for Artificial Intelligence
Event date： 2021.06
Language：Japanese Presentation type：Oral presentation (general)
In martial arts such as taekwondo, it is important to know one's own skill level in order to improve. In this study, we propose a method to evaluate the performance of taekwondo, attaching a smartphone with the waist and collect acceleration data. In martial arts, including taekwondo, when a martial artist stops moving, he or she instantly holds the entire body still. The acceleration data shows a peak at the moment of this stillness. If the timing of this peak is the same in all three axes, the fighter is considered to be more skilled. In this paper, We use the difference in the timing of the three axes to calculate the feature value, and decision trees create to evaluate the movement from the acceleration data using these features as explanatory variables. We evaluated the effectiveness of decision trees and confirmed these accuracy.
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Investment Trusts Clustering Using UMAP For The Long Return International conference
Haruto Yabuuchi, Tohgoroh Matsui, Atsuko Mutoh, Koichi Moriyama, Nobuhiro Inuzuka
The 35th Annual Conference of the Japanese Society for Artificial Intelligence Japanese Society for Artificial Intelligence
Event date： 2021.06
Language：Japanese Presentation type：Oral presentation (general)
It is necessary to compare investment trusts with their investment similarity, because their actual operations
may differ from their investment policies. A method for clustering investment trusts based on their monthly return has been proposed, but it only uses 3months. In this paper, we propose a method for clustering investment trusts with long term return and using the UMAP. -
Optimization of evacuation shelter allocation avoiding intersections of evacuation routes by network division
Masaya Yamamoto, Atsuko Mutoh, Koichi Moriyama, Tohgoroh Matsui, Nobuhiro Inuzuka
The 35th Annual Conference of the Japanese Society for Artificial Intelligence Japanese Society for Artificial Intelligence
Event date： 2021.06
Language：Japanese Presentation type：Oral presentation (general)
In recent years, there have been many occurrences of earthquakes and other large-scale disasters. Since the Great East Japan Earthquake revealed that many residents do not know where to evacuate to in the event of a large-scale disaster, evacuation shelter allocation is currently an important issue. Okada et al. proposed a method for allocating evacuation centers using data on people's stay histories. However, this method has a problem that it does not take into account evacuation routes. In this study, we propose a method to determine whether or not the network in the area to be evacuated can be divided into buildings and evacuation shelters, and to obtain the allocation of evacuation shelters without intersecting evacuation routes. As a result of evaluation experiments, we found that the proposed method was able to avoid the crossing of evacuation routes, while the conventional method had the possibility of crossing evacuation routes.
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社会ネットワークの社会的属性を特徴づける構造的属性に関する研究 International conference
細木 聡, 犬塚 信博, 武藤 敦子, 森山 甲一
人工知能学会第35回全国大会 人工知能学会
Event date： 2021.06
Language：Japanese Presentation type：Oral presentation (general)
社会ネットワーク分析において、各ノードの周囲の構造的属性は有用な働きをする可能性がある。夏目らは、構造的異質性属性を与えるオペレータを定義し、これによって得られた属性を適用した形式概念分析によって、具体的なエゴの振る舞いを分析した。しかし、限られた属性とオペレータの適用方法を対象としており、構造と関連する広い範囲の属性を対象とする必要がある。そこで、本研究では構造的な異質性に基づく新たな属性を定義し、それらも含めて有用性を調査した。その結果、いくつかのオペレータと属性の組合せで有用な結果を得た。
Industrial Property Rights
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Record Management System Conseling based-on Counseling Structure
Nobuhiro Inzuuka, Atsuko Mutoh, Naotaka Oda
Application no：特願2011-999999 Date applied：2011.02
Country of applicant：Domestic Country of acquisition：Domestic
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Friendship Prediction System
Nobuhiro Inuzuka, Tomofumi Nakano, Kosaku Shimomura, Hiroshi Matsuo
Application no：特願2008-34078 Date applied：2008.02
Announcement no：特開2009-193396 Date announced：2009.08
Patent/Registration no：5283059 Date registered：2013.06 Date issued：2013.06
Country of applicant：Domestic Country of acquisition：Domestic
Awards
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2019年度人工知能学会全国大会優秀賞
2019.06 人工知能学会 非負値多重行列因子分解の因子行列を用いたクラスタリングと決定木学習によるオフィスの入退室データの分析
小島 世大, 石槫 隼人, 坂田 美和, 武藤 敦子, 森山 甲一, 犬塚 信博
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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情報処理学会全国大会学生奨励賞
2013.03 情報処理学会
西山瑞紀
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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第９回情報学ワークショップ奨励賞
2011.11 第９回情報学ワークショップ実行委員会
小田尚宜, 武藤敦子, 犬塚信博
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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第８回情報学ワークショップ奨励賞
2010.12 情報学ワークショップ実行委員会
松島裕, 犬塚信博
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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第８回情報学ワークショップ優秀論文賞
2010.12 情報学ワークショップ実行委員会
中野裕介, 犬塚信博
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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第７回情報学ワークショップ奨励賞
2009.11 情報学ワークショップ実行委員会
牧野敏行,犬塚信博
Award type：Award from Japanese society, conference, symposium, etc. Country：Japan
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電気関係学会東海支部連合大会奨励賞
1996.04 -
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Country：Japan
Scientific Research Funds Acquisition Results
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人間関係分析のための知識発見アルゴリズム
2015.04 - 2019.03
科学研究費補助金 基盤研究(C)
犬塚信博
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科学的・合理的な学生相談手法を確立するための情報科学的研究
2011.04 - 2013.03
科学研究費補助金 挑戦的萌芽研究
犬塚信博、粥川 裕平, 武藤 敦子