Rchr
J-GLOBAL ID:201701003941716717
Update date: Jan. 30, 2024
Ryuichi Matoba
マトバ リュウイチ | Ryuichi Matoba
Affiliation and department:
Other affiliations (1):
Research field (1):
Cognitive sciences
Research theme for competitive and other funds (5):
- 2021 - 2024 表情とパラ言語を自動評価する非言語コミュニケーション能力育成教材の開発と実践評価
- 2019 - 2022 Development of a system to predict further ahead about the effects of the law
- 2017 - 2022 Development and Practical Evaluation of Teaching Materials for Developing English Nonverbal Communication Skills
- 2015 - 2019 Construction of Language Aquisition Model with Cognitive Biases
- 2013 - 2017 Development and practical evaluation of communication skill training teaching materials using gesture and speech recognition
Papers (25):
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Makoto Nakamura, Shingo Hagiwara, Ryuichi Matoba. Simulation for labor market using a multi-agent model toward validation of the Amended Labor Contract Act. Artificial Life and Robotics. 2022
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R. Matoba, T. Yonezawa, S. Hagiwara, T. Cooper, M. Nakamura. Extension of iterated learning model based on real-world experiment. Artificial Life and Robotics. 2020. 25. 4. 228-234
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Makoto Nakamura, Shingo Hagiwara, Ryuichi Matoba, Satoshi Tojo. An Approach to Modeling the Social and Economic Effects by the Enactment of Laws. Proceedings of the 25th International Symposium on Artificial Life and Robotics 2020 (AROB 25th 2020), Beppu, Japan. 2020. 6-9
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Ryuichi Matoba, Tomoki Yonezawa, Shingo Hagiwara, Todd Cooper, Makoto Nakamura. Extension of Iterated Learning Model Based on Real-World Experiment. Proceedings of the 25th International Symposium on Artificial Life and Robotics 2020 (AROB 25th 2020), Beppu, Japan. 2020. 130-135
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Ryuichi Matoba, Koshi Komai, Takahiro Nanba, Shingo Hagiwara, Makoto Nakamura. Simulation of Employment Environment Using Multi-agent Model. Proceedings of the 25th International Symposium on Artificial Life and Robotics 2020 (AROB 25th 2020), Beppu, Japan. 2020. 408-413
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MISC (32):
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米澤智貴, 的場隆一, 萩原慎吾, TODD Cooper. 実世界における実験に基づく繰り返し学習モデルの拡張. 電子情報通信学会大会講演論文集(CD-ROM). 2019. 2019. ROMBUNNO.A-11-4
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堺瑞起, 的場隆一, 小熊博. 深層学習を用いた剪定技術の再現. 情報処理学会全国大会講演論文集. 2018. 80th. 2. 2.89-2.90
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野村洋介, 的場隆一, 萩原信吾. マルチエージェントシステムを用いた企業競争における後発優位性の分析. 情報処理学会全国大会講演論文集. 2018. 80th. 2. 2.377-2.378
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御厨稜太, 的場隆一. 為替レートの変動予測システムの提案. 情報処理学会全国大会講演論文集. 2018. 80th. 2. 2.79-2.80
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野村 洋介, 的場 隆一, 萩原 信吾. マルチエージェントシステムを用いた企業競争における後発優位性の分析. 第80回全国大会講演論文集. 2018. 2018. 1. 377-378
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Books (1):
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構文獲得における対称性バイアスの有効性
的場隆一 2010
Professional career (1):
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