Publications

Publications #

学術論文 #

  1. Tenta Suzuki, Kenji Matsuda, Kaito Kumagae, Mao Tobisawa, Junya Hoshino, Yuki Itoh, Tomohiro Harada, Jyouhei Matsuoka, Toshinori Kagawa, Kiyohiko Hattori, "Acquisition of Cooperative Control of Multiple Vehicles Through Reinforcement Learning Utilizing Vehicle-to-Vehicle Communication and Map Information," Journal of Robotics and Mechatronics (JRM), Vol. 36, No. 3, pp. 642-657, 2024. [paper]
  2. Yuki Itoh, Junya Hoshino, Tenta Suzuki, Kenji Matsuda, Kaito Kumagae, Mao Tobisawa, Tomohiro Harada, Jyouhei Matsuoka, Toshinori Kagawa, Kiyohiko Hattori, "Automatic Route Design by Stepwise Subdivision of Virtual Walls —Reduces Route Length and Speeds Up Execution Time—," Journal of Robotics and Mechatronics (JRM), Vol. 36, No. 3, pp. 628-641, 2024. [paper]
  3. Jyunya Hoshino, Yuuki Itoh, Ryuma Saotome, Tomohiro Harada, Kenji Matsuda, Tenta Suzuki, Mao Tobisawa, Kaito Kumagae, Johei Matsuoka, Toshinori Kagawa, Kiyohiko Hattori, "Interchange Flow Control with Dynamic Obstacles Optimized Using Genetic Algorithms - A Concept of Virtual Walls -," Artificial Life and Robotics, Vol. 29, pp. 230-241, 2024. [paper]
  4. Tomohiro Harada, "Parallel cooperative multiobjective coevolutionary algorithm for constrained multiobjective optimization problems," Applied Soft Computing, Volume 153, 111290, 2024. [paper]
  5. Kenji Matsuda, Tenta Suzuki, Tomohiro Harada, Johei Matsuoka, Mao Tobisawa, Junya Hoshino, Yuuki Itoh, Kaito Kumagae, Toshinori Kagawa, Kiyohiko Hattori, "Hierarchical Reward Model of Deep Reinforcement Learning for Enhancing Cooperative Behavior in Automated Driving," Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII), Vol. 28, No. 2, pp. 431-443, 2024. [paper]
  6. Tomohiro Harada, "A pairwise ranking estimation model for surrogate-assisted evolutionary algorithms," Complex & Intelligent Systems, Vol. 9, pp. 6875-6890, 2023. [paper]
  7. Tomohiro Harada, "A frequency-based parent selection for reducing the effect of evaluation time bias in asynchronous parallel multi-objective evolutionary algorithms," Natural Computing, 2022. [paper]
  8. Tomohiro Harada, Johei Matsuoka, Kiyohiko Hattori, "Behavior Analysis of Emergent Rule Discovery for Cooperative Automated Driving Using Deep Reinforcement Learning," Artificial Life and Robotics, pp. 1-12, Springer, 2022. [paper]
  9. Tomohiro Harada, Sohei Kino, Ruck Thawonmas, "Investigating The Influence of Survival Selection and Fitness Estimation Method in Genotype-based Surrogate-assisted Genetic Programming," Artificial Life and Robotics, Springer, pp. 1-11, 2022. [paper]
  10. 後藤 裕介，森田 裕之，白井 康之，市川 尚，濱田 直希，原田 智広，「社会シミュレーションによる経済支援施策の設計―進化計算コンペティション2021の結果報告」，進化計算学会論文誌，Vol. 13，No. 1，pp. 23-39，2022． [paper]
  11. Tomohiro Harada, Enrique Alba, Gabriel Luque, "A fresh approach to evaluate performance in distributed parallel genetic algorithms," Applied Soft Computing (2020 Impact factor=6.725), Vol. 119, 108540, 22 pages, 2022. [paper]
  12. 濱田直希，於保 俊，谷垣 勇輝，原田 智広，能島 裕介，「ゲーム内イベントに対する認知的バイアスを考慮した乱数生成問題　進化計算コンペティション2020の結果報告」，進化計算学会論文誌，Vol. 12，No. 3，pp. 112-124，2021． [paper]
  13. Hayato Noguchi, Akari Sonoda, Tomohiro Harada, Ruck Thawonmas, "Improving CPU utilization of interleaving generation parallel evolutionary algorithm with precedence evaluation of tentative solutions and their suspension," SICE Journal of Control, Measurement, and System Integration (JCMSI), Vol. 14, No. 1, pp. 242-256, 2021. [paper]
  14. Tomohiro Harada, Misaki Kaidan, Ruck Thawonmas, "Comparison of synchronous and asynchronous parallelization of extreme surrogate-assisted multi-objective evolutionary algorithm," Natural Computing (2019 Impact factor=1.495), 2020. [paper]
  15. Tomohiro Harada, Enrique Alba, "Parallel Genetic Algorithms: A Useful Survey," ACM Computing Surveys (2019 Impact factor= 7.990), Vol. 53, No. 4, 39 pages, 2020. [paper]
  16. 大伴 周也，原田 智広，ターウォンマット ラック，伊東 卓男，「位相データ解析と機械学習手法を用いた地下石油タンクからの漏洩検知」，情報処理学会論文誌，Vol. 61，No. 8，pp. 1294-1305，2020． [paper]
  17. Tomohiro Harada, Keiki Takadama, "Analysis of semi-asynchronous multi-objective evolutionary algorithm with different asynchronies," Soft Computing, Vol. 24, pp. 2917-2939, (2017 Impact factor=2.367), 2020, https://doi.org/10.1007/s00500-019-04071-7. [paper]
  18. 大伴 周也，原田 智広，ターウォンマット ラック，「複数車種の同時最適化問題における共通部品情報と仮想親個体を用いた最適化手法の提案」，進化計算学会論文誌，9巻，2号，pp. 41-52，2018． [paper]
  19. 吉田 修武，原田 智広，ターウォンマット ラック，「木構造類似度を用いる多峰性遺伝的プログラミング」，計測自動制御学会論文集，第54巻，第8号，pp. 640-649，2018． [paper]
  20. Yusuke Tajima, Akinori Murata, Fumito Uwano, Tomohiro Harada, Keiki Takadama, "Sleep Stage Estimation Comparing Own Past Heartrate or Others' Heartrate,” SICE Journal of Control, Measurement, and System Integration (JCMSI), Vol. 11, No. 1. pp. 32-39 2018. [paper]
  21. 石井 晴之，村田 暁紀，上野 史，辰巳 嵩豊，梅内 祐太，高玉 圭樹，原田 智広，鎌田 弘之，石田 貴行，福田 盛介，澤井 秀次郎，坂井 真一郎，「相似な三角形に基づくクレータマッチングによるSLIM探査機の自己位置推定とその精度向上」，航空宇宙技術，Vol. 17，pp. 69-78，2018． [paper]
  22. Tomohiro Harada, Keiki Takadama, "Machine-Code Program Evolution by Genetic Programming Using Asynchronous Reference-Based Evaluation through Single-Event Upset in On-Board Computer," Journal of Robotics and Mechatronics (JRM), Vol. 29, No. 5, pp. 808-818, 2017. [paper]
  23. Tung Duc Nguyen, Ayumu Shinya, Tomohiro Harada, Ruck Thawonmas, "Segmentation Mask Refinement Using Image Transformations," in IEEE Access, vol. 5, pp. 26409-26418, 2017. [paper]
  24. 原田 智広，「非同期進化的アルゴリズムにおける解の性質と評価時間の関係性による影響の分析」，進化計算学会論文誌, Vol. 7, No. 2, pp. 46-55, 2016. [paper]
  25. Tomohiro Harada, Keiki Takadama, Hiroyuki Sato, "Promoting Machine-Code Program Evolution in Asynchronous Genetic Programming," SICE Journal of Control, Measurement, and System Integration (JCMSI), Vol. 9, No. 2, pp. 93-102, 2016. [paper]
  26. 石原 誠，宮崎 泰地，原田 智広，ターウォンマット ラック，「対戦格闘ゲームにおけるゲームAIや操作法の違いがプレイヤの感じる面白さに与える影響の分析」， 情報処理学会論文誌，Vol. 57，No. 11，pp. 2414-2425，2016． [paper]
  27. Keiki Takadama, Takahiro Jinba, Tomohiro Harada, Hiroyuki Sato, "Evolutionary multi-objective route and fleet assignment optimisation for regular and non-regular flights," International Journal of Automation and Logistics, Vol. 2, Nos. 1/2, pp. 122-152, 2016. [paper]
  28. 沢田石 祐弥，原田 智広，佐藤 寛之，服部 聖彦，高玉 圭樹，山口 智浩，「多次元空間問題における商品属性の関係理解と商品選定の支援」， 電子情報通信学会誌，Vol. J97-A, No. 6, pp. 482-491，2014． [paper]
  29. 森 有紗美，原田 智広，北川 広登，高玉 圭樹，「集団適応状態に向けた好意情報の提示とその影響」， 電子情報通信学会誌，Vol. J97-A, No. 6，pp. 429-428，2014. [paper]
  30. 中田 雅也, 原田 智広, 佐藤 圭二, 松島 裕康, 高玉 圭樹，「予測報酬に基づく個別化による学習分類子システムの学習性能の向上」, 計測自動制御学会論文集, 48-11, pp.713-722, 2012. [paper]
  31. Tomohiro Harada, Masayuki Otani, Yoshihiro Ichikawa, Kiyohiko Hattori, Hiroyuki Sato, Keiki Takadama, "Robustness to Bit Inversion in Registers and Acceleration of Program Evolution in On-Board Computer," Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII) , Vol.15, No.8, pp. 1175-1185, 2011. [paper]
  32. 中田 雅也，原田 智広，佐藤 圭二，松島 裕康，高玉 圭樹，「個別化による学習分類子システムの一般化促進」，計測自動制御学会論文誌，Vol. 47，No. 11，pp. 581-590，2011. [paper]

国際学会論文 #

  1. Yuhirio Ono, Tomohiro Harada, Yukiya Miura, "Switching Constraint Handling Evolutionary Algorithm for Constrained Multi-modal Multi-objective Optimization Problems," SICE Festival 2024 with Annual Conference (SICE FES 2024), pp. 1079-1084, 2024.
  2. Reo Nakaya, Tomohiro Harada, Yukiya Miura, Kiyohiko Hattori, Johei Matsuoka, "Developing Flexible Tile-Independent Simulation Environments for Cooperative Autonomous Vehicle Control via Deep Reinforcement Learning on Lane-Less Roads," SICE Festival 2024 with Annual Conference (SICE FES 2024), pp. 576-579, 2024.
  3. Tomohiro Harada, Enrique Alba, Gabriel Luque, "Energy and Quality of Surrogate-Assisted Search Algorithms: a First Analysis," IEEE World Congress on Computational Intelligence (IEEE WCCI 2024), 2024.
  4. Akito Takenaka, Tomohiro Harada, Yukiya Miura, Kiyohiko Hattori, Johei Matsuoka, "Cooperative Autonomous Driving Control Among Vehicles of Different Sizes Using Deep Reinforcement Learning," IEEE World Congress on Computational Intelligence (IEEE WCCI 2024), 2024.
  5. Yuki Hanawa, Tomohiro Harada, Yukiya Miura, "Analysis of the Impact of Prediction Accuracy on Search Performance in Surrogate-assisted Evolutionary Algorithms," IEEE World Congress on Computational Intelligence (IEEE WCCI 2024), 2024.
  6. Jyunya Hoshino, Yuuki Itoh, Ryuma Saotome, Tomohiro Harada, Kenji Matsuda, Tenta Suzuki, Mao Tobisawa, Kaito Kumagae, Johei Matsuoka, Toshinori Kagawa, Kiyohiko Hattori, "Interchange Flow Control with Dynamic Obstacles Optimized Using Genetic Algorithms - A Concept of Virtual Walls -," Joint Symposium: 29th International Symposium on Artificial Life and Robotics, 9th International Symposium on BioComplexity, and 7th International Symposium on Swarm Behavior and Bio-Inspired Robotics (AROB-ISBC-SWARM 2024), 2024.
  7. Reo Nakaya, Tomohiro Harada, Yukiya Miura, Kiyohiko Hattori, Johei Matsuoka, "Emergence of Cooperative Automated Driving Control at Roundabouts Using Deep Reinforcement Learning," 2023 62nd Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), pp. 97-102, 2023.
  8. Hitomi Kano, Tomohiro Harada, Yukiya Miura, Masahiro Kanazaki, "Hybrid Rocket Engine Design Using Pairwise Ranking Surrogate-assisted Differential Evolution," In Proceedings of the Companion Conference on Genetic and Evolutionary Computation (GECCO '23 Companion), pp. 1956-1962, 2023.
  9. Ryuma Saotome, Kiyohiko Hattori, Tomohiro Harada, Johei Matsuoka, "Proposal of Signal-less Intersection Control with Dynamic Obstacles Optimized by Using Genetic Algorithm --- A Concept of Virtual Walls ---," the Joint Symposium: 28th International Symposium on Artificial Life and Robotics, 8th International Symposium on BioComplexity, and 6th International Symposium on Swarm Behavior and Bio-Inspired Robotics (AROB-ISBC-SWARM 2023), 2023.
  10. Hitomi Kano, Tomohiro Harada, Yukiya Miura, "Differential Evolution Using Surrogate Model Based on Pairwise Ranking Estimation for Constrained Optimization Problems," Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2022), 2022.
  11. Takuya Hakoishi, Tomohiro Harada, Yukiya Miura, " Improving Data Sampling Efficiency of Sensitivity Analysis Based on Bilevel Multi-objective Evolutionary Algorithm," Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2022), 2022.
  12. Tomohiro Harada, Johei Matsuoka, Kiyohiko Hattori, "Emergent Rule Discovery for Automated Driving Using Multi-Agent Simulation," the Joint Symposium: 27th International Symposium on Artificial Life and Robotics, 7th International Symposium on BioComplexity, and 5th International Symposium on Swarm Behavior and Bio-Inspired Robotics (AROB-ISBC-SWARM 2022), pp. 1804-1809, 2022.
  13. Sohei Kino, Tomohiro Harada, Ruck Thawonmas, "Investigating the Effect of Survival Selection Policy in Surrogate-assisted Genetic Programming," the Joint Symposium: 27th International Symposium on Artificial Life and Robotics, 7th International Symposium on BioComplexity, and 5th International Symposium on Swarm Behavior and Bio-Inspired Robotics (AROB-ISBC-SWARM 2022), pp. 295-300, 2022.
  14. Koki Tsujino, Tomohiro Harada, Ruck Thawonmas, "Adaptation of Search Generations in Extreme Learning Assisted MOEA/D Based on Estimation Accuracy of Surrogate Model," IEEE Congress on Evolutionary Computation 2021 (CEC 2021), pp. 1519-1526, 2021.
  15. Hayato Noguchi, Tomohiro Harada, Ruck Thawonmas, "Parallel Differential Evolution Applied to Interleaving Generation with Precedence Evaluation of Tentative Solutions," ACM Genetic and Evolutionary Computation Conference, pp. 706-713, 2021.
  16. Tomohiro Harada, "Search Progress Dependent Parent Selection for Avoiding Evaluation Time Bias in Asynchronous Parallel Multi-Objective Evolutionary Algorithms," 2020 IEEE Symposium Series on Computational Intelligence (SSCI) (SSCI 2020), pp. 1013-1020, Canberra, Australia (online), 2020.
  17. Tomohiro Harada, "A Study on Efficient Asynchronous Parallel Multi-Objective Evolutionary Algorithm with Waiting Time Limitation," Theory and Practice of Natural Computing 2020 (TPNC 2020), Volume 12494 of the Lecture Notes in Computer Science series, pp. 121-132, 2020.
  18. Hayato Noguchi, Akari Sonoda, Tomohiro Harada, Ruck Thawonmas, "Interleaving Generation Evolutionary Algorithm with Precedence Evaluation of Tentative Offspring," 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), Chiang Mai, Thailand (online), pp. 832-837, 2020.
  19. Sohei Kino, Tomohiro Harada, Ruck Thawonmas, "Proposal of Surrogate Model for Genetic Programming Based on Program Structure Similarity," 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), Chiang Mai, Thailand (online), pp. 808-813, 2020.
  20. Koki Tsujino, Tomohiro Harada, Ruck Thawonmas, "Analysis of Relation between Prediction Accuracy of Surrogate Model and Search Performance on Extreme Learning Machine Assisted MOEA/D," 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), Chiang Mai, Thailand (online), pp. 820-825, 2020.
  21. Tomohiro Harada, Kei Murano, Ruck Thawomnas, "Proposal of Multimodal Program Optimization Benchmark and Its Application to Multimodal Genetic Programming," IEEE Congress on Evolutionary Computation 2020, pp. 1-8, Glasgow, United Kingdom (online), 2020.
  22. Tomohiro Harada, "Mathematical Model of Asynchronous Parallel Evolutionary Algorithm to Analyze Influence of Evaluation Time Bias," IEEE 6th the Asia-Pacific Conference on Computer Science and Data Engineering 2019 (IEEE CSDE 2019), Melbourne, Australia. December 9-11, 2019.
  23. Enzhi Zhang, Tomohiro Harada, Ruck Thawonmas, "Using Graph Convolution Network for Predicting Performance of Automatically Generated Convolution Neural Networks," IEEE 6th the Asia-Pacific Conference on Computer Science and Data Engineering 2019 (IEEE CSDE 2019), Melbourne, Australia. December 9-11, 2019.
  24. Sunee Sae-Lao, Pujana Paliyawan, Ruck Thawonmas, Tomohiro Harada, "Enhance Physical and Mental Well-being of Game Players in a Endless Running Game," 2019 IEEE 8th Global Conference on Consumer Electronics (IEEE GCCE 2019), October 14, 2019.
  25. Junjie Xu, Pujana Paliyawan, Ruck Thawonmas, Tomohiro Harada, "Player Dominance Adjustment: Promoting Self-Efficacy and Experience of Game Players by Adjusting Dominant Power," 2019 IEEE 8th Global Conference on Consumer Electronics (IEEE GCCE 2019), October 14, 2019.
  26. Zhou Fang, Pujana Paliyawan, Ruck Thawonmas, Tomohiro Harada, "Towards an Angry-Birds-like Game System for Promoting Mental Well-being of Players Using Art-Therapy-embedded PCG," 2019 IEEE 8th Global Conference on Consumer Electronics (IEEE GCCE 2019), October 14, 2019.
  27. Ryota Ishii, Ruck Thawonmas, Tomohiro Harada, "An Analysis of Highlight AI Using Game Experience in Fighting Game," 2019 IEEE 8th Global Conference on Consumer Electronics (IEEE GCCE 2019), October 14, 2019.
  28. Ryota Ishii, Suguru Ito, Ruck Thawonmas and Tomohiro Harada, "A Fighting Game AI Using Highlight Cues for Generation of Entertaining Gameplay," IEEE Conference on Games 2019 (CoG 2019), London, UK, August 20-23, 2019.
  29. Takahiro Kusano, Yunshi Liu, Pujana Paliyawan, Ruck Thawonmas and Tomohiro Harada, "Motion Gaming AI using Time Series Forecasting and Dynamic Difficulty Adjustment for Improving Exercise Balance and Enjoyment," IEEE Conference on Games 2019 (CoG 2019), London, UK, August 20-23, 2019.
  30. Febri Abdullah, Pujana Paliyawan, Ruck Thawonmas, Tomohiro Harada and Fitra Bachtiar, "Angry Birds Level Generator with Rube Goldberg Machine Mechanism," IEEE Conference on Games 2019 (CoG 2019), London, UK, August 20-23, 2019.
  31. Shubu Yoshida, Tomohiro Harada, Ruck Thawonmas, "Multimodal Genetic Programming Using Program Similarity Measurement and Its Application to Wall-Following Problem," Genetic and Evolutionary Computation Conference 2019 (GECCO 2019), pp. 356-357, Prague, Czech, 2019.
  32. Wenwen Ouyang, Ruoyu Gao, Pujana Paliyawan, Ruck Thawonmas and Tomohiro Harada, "Sleepy Style Music through Variational Autoencoder," the 7th International Conference on Serious Games and Applications for Health (IEEE SeGAH 2019), Kyoto, Japan August 5-7, 2019.
  33. Jingdi Xu, Yuuki Okido, Sunee Sae-Lao, Pujana Paliyawan, Ruck Thawonmas, Tomohiro Harada, "Promoting Emotional Well-Being with Angry-Birds-like Gameplay on Pixel Image Levels," the 7th International Conference on Serious Games and Applications for Health (IEEE SeGAH 2019), Kyoto, Japan, August 5-7, 2019.
  34. Febri Abdullah, Changeun Yang, Pujana Paliyawan, Ruck Thawonmas, Tomohiro Harada and Fitra A. Bachtiar, "Effects of Angry Birds-like Live Streaming on Working Memory," the 7th International Conference on Serious Games and Applications for Health (IEEE SeGAH 2019), Kyoto, Japan August 5-7, 2019.
  35. Ryota Ishii, Suguru Ito, Tomohiro Harada and Ruck Thawonmas, "A Visual Analysis of Gameplay in a Fighting Game," the 18th NICOGRAPH International 2019, Shaanxi, China, July 5-7, 2019.
  36. Hayato Noguchi, Ryota Ishii, Ruck Thawonmas and Tomohiro Harada, "Improving Rolling Horizon Evolutionary Algorithm in a Fighting Game," the 18th NICOGRAPH International 2019, Shaanxi, China, July 5-7, 2019.
  37. Hideyasu Inoue, Yoshina Takano, Ruck Thawonmas and Tomohiro Harada, "Verification of Applying Curiosity-Driven to Fighting Game AI," the 18th NICOGRAPH International 2019, Shaanxi, China, July 5-7, 2019.
  38. Yoshina Takano, Hideyasu Inoue, Ruck Thawonmas and Tomohiro Harada, "Self-Play for Training General Fighting Game AI," the 18th NICOGRAPH International 2019, Shaanxi, China, July 5-7, 2019.
  39. Febri Abdullah, Changeun Yang, Pujana Paliyawan, Ruck Thawonmas, Tomohiro Harada, Fitra A. Bachtiar, "Promoting Emotions with Angry Birds-like Gameplay on Rube Goldberg Machine Levels," 2019 IEEE International Conference on Consumer Electronics – Asia (ICCE-Asia) (IEEE ICCE-Asia 2019), Bangkok, Thailand, June, 2019.
  40. Ngoc Cuong Nguyen, Zhenao Wei, Pujana Paliyawan, Hai V. Pham, Ruck Thawonmas, Tomohiro Harada, "Using GWAP to Generate Informative Descriptions for Artwork Images on a Live Streaming Platform," 2019 IEEE International Conference on Consumer Electronics – Asia (ICCE-Asia) (IEEE ICCE-Asia 2019), Bangkok, Thailand, June, 2019.
  41. Changeun Yang, Pujana Paliyawan, Ruck Thawonmas, Tomohiro Harada, "TGIF!: Selecting the most healing TNT by optical flow," AAAI 2019 Spring Symposium on "Interpretable AI for Well-Being: Understanding Cognitive Bias and Social Embeddedness", Palo Alto, USA, 2019.
  42. Tomohiro Harada, "Adaptive Asynchrony in Semi-Asynchronous Evolutionary Algorithm Based on Performance Prediction Using Search History," Genetic and Evolutionary Computation Conference 2018 (GECCO 2018), pp. 1031-1038, Kyoto, Japan, July 15-19, 2018.
  43. Tomohiro Harada, Misaki Kaidan, Ruck Thawonmas, "Crowding Distance based Promising Solution Selection in Surrogate Assisted Asynchronous Multi-Objective Evolutionary Algorithm," Genetic and Evolutionary Computation Conference 2018 (GECCO 2018), pp. 253-254, Kyoto, Japan, July 15-19, 2018.
  44. Kei Murano, Shubu Yoshida, Tomohiro Harada, Ruck Thawonmas, "A Study on Multimodal Genetic Programming Introducing Program Simplification," Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2018), pp. 109-114, Toyama, Japan, 2018.
  45. Jingdi Xu, Changeun Yang, Yuuki Okido, Pujana Paliyawan, Tomohiro Harada, Ruck Thawonmas, "An Angry Birds-like Game System for Promoting Players' Emotion," 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018), pp. 128-129, Nara, Japan, 2018.
  46. Ryota Ishii, Suguru Ito, Ruck Thawonmas, Tomohiro Harada, "An Analysis of Fighting Game AIs Having a Persona," 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018), pp. 558-559, Nara, Japan, 2018.
  47. Yoshina Takano, Suguru Ito, Tomohiro Harada, Ruck Thawonmas, "Utilizing Multiple Agents for Decision Making in a Fighting Game," 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018), pp. 562-563, Nara, Japan, 2018.
  48. Yuntian Ma, Enzhi Zhang, Koki Tsujino, Tomohiro Harada, Ruck Thawonmas, "An Object Matrix Input Format for a Deep AI in Angry Birds and the like," 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018), pp. 564-566, Nara, Japan, 2018.
  49. Changeun Yang, Pujana Paliyawan, Tomohiro Harada, Ruck Thawonmas, "Blow Up Depression with In-Game TNTs," 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018), pp. 786-787, Nara, Japan, 2018.
  50. Yoshina Takano, Wenwen Ouyang, Suguru Ito, Tomohiro Harada, Ruck Thawonmas, "Applying Hybrid Reward Architecture to a Fighting Game AI, "IEEE Conference on Computational Intelligence in Games 2018 (CIG 2018), pp. 433-436, Maarstricht, Netherlands, 2018.
  51. Makoto Ishihara, Suguru Ito, Ryota Ishii, Tomohiro Harada, Ruck Thawonmas, "Monte-Carlo Tree Search for Implementation of Dynamic Difficulty Adjustment Fighting Game AIs Having Believable Behaviors," IEEE Conference on Computational Intelligence in Games 2018 (CIG 2018), pp. 46-53, Maarstricht, Netherlands, 2018.
  52. Ryota Ishii, Suguru Ito, Makoto Ishihara, Tomohiro Harada and Ruck Thawonmas, "Monte-Carlo Tree Search Implementation of Fighting Game AIs Having Personas," IEEE Conference on Computational Intelligence in Games 2018 (CIG 2018), pp. 54-61, Maarstricht, Netherlands, 2018.
  53. Yuxuan Jiang, Pujana Paliyawan, Ruck Thawonmas, Tomohiro Harada, "An Audience Participation Angry Birds Platform for Social Well-Being," the 19th annual European GAME-ON Conference (GAME-ON 2018), pp. 116-120, Dundee, United Kingdom, 2018.
  54. Lilang Xiong, Zhenao Wei, Wenwen Ouyang, Yulin Cai, Ruck Thawonmas, Tomohiro Harada, Keiko Suzuki and Masaaki Kidachi, "Deep feature extraction based on an L2-constrained combination of center and softmax loss functions for ukiyo-e image recommendation," the 1st KDD Workshop on Data Science for Digital Art History: tackling big data Challenges, Algorithms, and Systems, London, United Kingdom, 2018.
  55. Yuntian Ma, Yoshina Takano, Enzhi Zhang, Tomohiro Harada, Ruck Thawonmas, "Playing Angry Birds with a Neural Network and Tree Search," 2018 Angry Birds AI Symposium, Stockholm, Sweden, 7 pages, Jul. 17, 2018.
  56. Lilang Xiong, Zhenao Wei, Wenwen Ouyang, Tomohiro Harada, Ruck Thawonmas, Keiko Suzuki, and Masaaki Kidachi, "Validation of Deep Features Using the 1-NN Algorithm for Image Similarity Computation," Proceedings of 2018 NICOGRAPH International, Tainan, Taiwan, p. 81, 2018.
  57. Changeun Yang, Yuxuan Jiang, Pujana Paliyawan, Tomohiro Harada, and Ruck Thawonmas, "Smile with Angry Birds: Two Smile-Interface Implementations," Proceedings of 2018 NICOGRAPH International, Tainan, Taiwan, p. 80, 2018.
  58. Hiiro Ohtsuka, Misaki Kaidan, Tomohiro Harada, Ruck Thawonmas, "Evolutionary Algorithm Using Surrogate Assisted Model for Simultaneous Design Optimization Benchmark Problem of Multiple Car Structures," Late-Breaking Abstract in Genetic and Evolutionary Computation Conference 2018 (GECCO 2018), pp. 55-56, Kyoto, Japan, July 15-19, 2018.
  59. Yusuke Tajima, Akinori Murata, Tomohiro Harada, Keiki Takadama, "Sleep Stage Re-Estimation Method According To Sleep Cycle Change," The AAAI 2018 Spring Symposium on "Beyond Machine Intelligence, Understanding Cognitive Bias and Humanity for Well-Being," pp. 280-284, March 26-28, 2018, Stanford University, Palo Alto, California USA.
  60. Yunshi Liu, Pujana Paliyawan, Takahiro Kusano, Tomohiro Harada, Ruck Thawonmas, "A Personalized Method for Calorie Consumption Assessment," The AAAI 2018 Spring Symposium on "Beyond Machine Intelligence, Understanding Cognitive Bias and Humanity for Well-Being," pp. 247-252, March 26-28, 2018, Stanford University, Palo Alto, California USA.
  61. Ayumu Shinya, Kazuki Mori, Tomohiro Harada, Ruck Thawonmas, "Potential Improvement of CNN-based Colorization for Non-natural Images," The International Workshop on Advanced Image Technology 2018 (IWAIT 2018), Chiang Mai, Thailand, Jan. 7-10, 2018.
  62. Tomohiro Harada, Keiki Takadama, "A Study of Self-Adaptive Semi-Asynchronous Evolutionary Algorithm on Multi-Objective Optimization Problem," ACM Workshop on Parallel and Distributed Evolutionary Inspired Method (PDEIM) in Genetic and Evolutionary Computation Conference 2017 (GECCO2017), pp. 1812-1819, Berlin, Germany, July 15-19, 2017.
  63. Tomohiro Harada, Keiki Takadama, "Performance Comparison of Parallel Asynchronous Multi-Objective Evolutionary Algorithm with Different Asynchrony," IEEE Congress on Evolutionary Computation 2017, pp. 1215-1222, San Sebastian, Spain, June 5-8, 2017.
  64. Tomohiro Harada, Takahiro Kawashima, Morito Morishima, Keiki Takadama, "Improving Accuracy of Real-time Sleep Stage Estimation by Considering Personal Sleep Feature and Rapid Change of Sleep Behavior," 2017 AAAI Spring Symposium Series, pp. 665-672, 2017.
  65. Shubu Yoshida, Tomohiro Harada, Ruck Thawonmas, "Multimodal Genetic Programming by Using Tree Structure Similarity Clustering," IEEE 10th International Workshop on Computational Intelligence and Applications (IWCIA2017), pp. 85-90, Hiroshima, Japan, November 11-12, 2017.
  66. Kazuki Mori, Suguru Ito, Tomohiro Harada, Ruck Thawonmas, Kyung-Joong Kim, "Feature Extraction of Gameplays for Similarity Calculation in Gameplay Recommendation," IEEE 10th International Workshop on Computational Intelligence and Applications (IWCIA2017), pp. 171-176, Hiroshima, Japan, November 11-12, 2017.
  67. Jorge Arturo Morán Bravo, Pujana Paliyawan, Tomohiro Harada, Ruck Thawonmas, "Intelligent Assistant for Providing Instructions and Recommending Motions During Full-body Motion Gaming," 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE 2017), Aichi, Japan, October 24-27, pp. 342-343, 2017. (the IEEE GCCE 2017 Outstanding Demo! Award)
  68. Takahiro Kusano, Pujana Paliyawan, Tomohiro Harada, Ruck Thawonmas, "Towards Adaptive Motion Gaming AI with Player’s Behavior Modeling for Health Promotion," 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE 2017), Aichi, Japan, October 24-27, pp. 270-271, 2017.
  69. Yuxuan Jiang, Tomohiro Harada, Ruck Thawonmas, "Procedural generation of angry birds fun levels using pattern-struct and preset-model," 2017 IEEE Conference on Computational Intelligence and Games (CIG 2017), New York, NY, August 22-25, pp. 154-161, 2017.
  70. Misaki Kaidan, Tomohiro Harada, Ruck Thawonmas, "Integrating Surrogate Evaluation Model and Asynchronous Evolution in Multi-Objective Evolutionary Algorithm for Expensive and Different Evaluation Time," ACM Workshop on Parallel and Distributed Evolutionary Inspired Method (PDEIM) in Genetic and Evolutionary Computation Conference 2017 (GECCO2017), pp. 1833-1840, Berlin, Germany, July 15-19, 2017.
  71. Suguru Ito, Makoto Ishihara, Marco Tamassia, Tomohiro Harada, Ruck Thawonmas and Fabio Zambetta, "Procedural Play Generation According to Play Arcs Using MonteCarloTree Search," 18th International Conference on Intelligent Games and Simulation (GAME-ON 2017), pp. 67-71, September 6-8, Carlow, Ireland, 2017.
  72. Kazuki Mori, Ayumu Shinya, Tomohiro Harada, Ruck Thawonmas, "Feature Extraction of Game Plays for Procedural Play Generation," NICOGRAPH international 2017, P-07, 2017.
  73. Suguru Ito, Makoto Ishihara, Tomohiro Harada, Ruck Thawonmas, "Automatic Generation of Game Plays Considering the Play Arc by the AI in a Fighting Game," NICOGRAPH international 2017, P-08, 2017.
  74. Ayumu Shinya, Nguyen Duc Tung, Tomohiro Harada, Ruck Thawonmas, "Object-Specific Style Transfer Based on Feature Map Selection Using CNNs," NICOGRAPH international 2017, P-09, 2017.
  75. Takahiro Kusano, Pujana Paliyawan, Tomohiro Harada, Ruck Thawonmas, "Analysis of Relationship between the Player's Behavior Change and the Effectiveness of a Health Promotion AI," NICOGRAPH international 2017, P-13, 2017.
  76. Pujana Paliyawan, Takahiro Kusano, Yuto Nakagawa, Tomohiro Harada, Ruck Thawonmas, "Adaptive Motion Gaming AI for Health Promotion," AAAI 2017 Spring Symposium, pp. 720-725, 2017.
  77. Yusuke Tajima, Tomohiro Harada, Keiki Takadama, "Sleep Stage Estimation Based on Appriximate Heartrate Calculated from Other Persons," AAAI 2017 Spring Symposium, pp. 734-739, 2017.
  78. Thawonmas Ruck, Tomohiro Harada, "AI for Game Spectators, Rise of PPG," AAAI 2017 Workshop on What's next for AI on games, pp. 1032-1033, San Francisco, USA, 2017.
  79. Tomohiro Harada, Fumito Uwano, Takahiro Komine, Yusuke Tajima, Takahiro Kawashima, Morito Morishima, Keiki Takadama, "Real-Time Sleep Stage Estimation from Biological Data with Trigonometric Function Regression Model," 2016 AAAI Spring Symposium Series, pp. 348-353, 2016.
  80. Makoto Ishihara, Taichi Miyazaki, Chun Yin Chu, Tomohiro Harada, and Ruck Thawonmas, "Applying and Improving Monte-Carlo Tree Search in a Fighting Game AI," Proceedings of the 13th International Conference on Advances in Computer Entertainment Technology (ACE 2016), Osaka, Japan, Nov. 9-12, 2016.
  81. Shubu Yoshida, Makoto Ishihara, Taichi Miyazaki, Yuto Nakagawa, Tomohiro Harada, and Ruck Thawonmas, "Application of Monte-Carlo Tree Search in a Fighting Game AI," Proceedings of the 5th IEEE Global Conference on Consumer Electronics (GCCE 2016), Kyoto, Japan, pp. 623-624, Oct. 11-14, 2016.
  82. Suguru Ito, Zikun Guo, Chun Yin Chu, Tomohiro Harada, Ruck Thawonmas, "Efficient Implementation of Breadth First Search for General Video Game Playing," Proceedings of the 5th IEEE Global Conference on Consumer Electronics (GCCE 2016), Kyoto, Japan, pp. 625-626, Oct. 11-14, 2016.
  83. Kazuki Mori, Tung Nguyen, Tomohiro Harada, Ruck Thawonmas, "An Improvement of Matrix Factorization with Bound Constraints for Recommender Systems," 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), pp. 103-106, Kumamoto, 2016.
  84. Misaki Kaidan, Tomohiro Harada, Chun Yin Chu and Ruck Thawonmas, "Procedural Generation of Angry Birds Levels with Adjustable Difficulty," Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC 2016), Vancouver, Canada, pp. 1311-1316, Jul. 24-29, 2016.
  85. YuXuan Jiang, Misaki Kaidan, Chun Yin Chu, Tomohiro Harada, Ruck Thawonmas, "Procedural Generation of Angry Birds Levels using Building Constructive Grammar with Chinese-Style and/or Japanese-Style Models," Proceedings of ASIAGRAPH 2016, pp. 53-54, Mar. 5-6, Toyama, Japan, 2016.
  86. Chun-Yin Chu, Suguru Ito, Tomohiro Harada and Ruck Thawonmas, "Position-based Reinforcement Learning Biased MCTS for General Video Game Playing," IEEE Computational Intelligence and Games 2016 (CIG2016), pp. 443-450, 2016.
  87. Yusuke Tajima, Tomohiro Harada, Hiroyuki Sato, Keiki Takadama, "Personalized Real-Time Sleep Stage from Past Sleep Data to Today’s Sleep Estimation," the 18th International Conference on Human-Computer Interaction (HCI2016), pp. 501-510, 2016.
  88. Kamon Supaphon, Tung Nguyen, Tomohiro Harada, Ruck Thawonmas, Ikuko Nishikawa, "Improving Heuristic Search for RTS-Game Unit Micromanagement Using Reinforcement Learning," 2015 IEEE 4th Global Conference on Consumer Electronics (GCCE2015), pp. 51-52, 2015.
  89. Misaki Kaidan, Chun Yin Chu, Tomohiro Harada, Ruck Thawonmas, "Procedural Generation of Angry Birds Levels That Adapt to the Player's Skills Using Genetic Algorithm," 2015 IEEE 4th Global Conference on Consumer Electronics (GCCE2015), pp. 555-556, 2015.
  90. Yuto Nakagawa, Kaito Yamamoto, Chun Yin Chu, Tomohiro Harada, Ruck Thawonmas, "Predicting the Opponent's Action Using the k-Nearest Neighbor Algorithm and a Substring Tree Structure," 2015 IEEE 4th Global Conference on Consumer Electronics (GCCE2015), pp. 553-554, 2015.
  91. Makoto Ishihara, Taichi Miyazaki, Pujana Paliyawan, Chun Yin Chu, Tomohiro Harada, Ruck Thawonmas, "Investigating Kinect-based Fighting Game AIs That Encourage Their Players to Use Various Skills," 2015 IEEE 4th Global Conference on Consumer Electronics (GCCE2015), pp. 351-352, 2015.
  92. Chun Yin Chu, Hisaaki Hashizume, Zikun Guo, Tomohiro Harada, Ruck Thawonmas, "Combining pathfmding algorithm with Knowledge-based Monte-Carlo tree search in general video game playing," 2015 IEEE Conference on Computational Intelligence and Games (CIG 2015), pp. 523-529, Tainan, 2015.
  93. Ryo Takano, Tomohiro Harada, Hiroyuki Sato, Keiki Takadama, "Toward Robustness Against Environmental Change Speed by Artificial Bee Colony Algorithm based on Local Information Sharing”, 2015 IEEE Congress on Evolutionary Computation (CEC2015), pp. 1424-1431, 2015.
  94. Takuma Fujitsuka, Tomohiro Harada, Keiki Takadama, Hiroyuki Sato, Tomohiro Yamaguchi, "Sightseeing Plan Recommendation System using Sequential Pattern Mining based on Adjacent Activities," The 10th Asian Control Conference 2015 (ASCC2015), 2015.
  95. Keiki Takadama, Yusuke Tajima, Tomohiro Harada, Atsushi Ishihara, and Morito Morishima, "Towards Ambient intelligence System for Good Sleep By Sound Adjusted to Heartbeat and Respiration," The AAAI 2015 Spring Symposia, Ambient Intelligence for Health and Cognitive Enhancement, AAAI (The Association for the Advancement of Artificial Intelligence), 2015.
  96. Kotaro Usui, Tomohiro Harada, Keiki Takadama, Hiroyuki Kamata, Seisuke Fukuda, Syujiro Sawai, and Shinichiro Sakai, "Adjusting SLIM Spacecraft Location Estimation to Crater Detection for High Precision and Computational Time Reduction," The 30th International Symposium on Space Technology and Science (ISTS2015), 2015-t-14, 2015.
  97. Shingo Tomura, Tomohiro Harada, Hiroyuki Sato, Keiki Takadama, and Makoto Aoki, "Estimating Surrounding Symptom Level of Dementia Person by Sleep Stage," The Ninth International Symposium on Medical Information and Communication Technology (ISMICT 2015), pp. 201-205, 2015.
  98. Tomohiro Harada, Keiki Takadama, "Asynchronously Evolving Solutions with Excessively Different Evaluation Time by Reference-based Evaluation," Genetic and Evolutionary Computation Conference 2014 (GECCO2014), pp. 911-918, Vancouver, Canada, 2014.
  99. Tomohiro Harada, Keiki Takadama, "Asynchronous Evolution by Reference-based Evaluation, Tertiary Parent Selection and its Archive," 17th European Conference on Genetic Programming (EuroGP2014), Lecture Notes in Computer Science, Vol. 8599, Springer-Verlag, pp. 198-209, Granada, Spain, 2014.
  100. Tomohiro Harada, Keiki Takadama, "Maintaining, Minimizing, and Recovering Machine Language Program through SEU in On-Board Computer," International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS2014), Montreal, Canada, 2014.
  101. Takahiro Jinba, Tomohiro Harada, Hiroyuki Sato, and Keiki Takadama, "Multi Objective Optimization for Route Planning and Fleet Assignment in Regular and Non-regular Flights”, The 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES2014), in H. Handa, H. Ishibuchi, Y-S. Ong, K-C. Tan. (Eds.), Vol. 2, Springer-Verlag, pp. 561-575, Singapore, 2014.
  102. Ryo Takano, Tomohiro Harada, Hiroyuki Sato, and Keiki Takadama, "Artificial Bee Colony Algorithm based on Local Information Sharing in Dynamic Environment," The 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES2014), in H. Handa, H. Ishibuchi, Y-S. Ong, K-C. Tan. (Eds.), Vol. 1, Springer-Verlag, pp. 627-641, Singapore, 2014.
  103. Asami Mori, Tomohiro Harada, Yoshihiro Ichikawa, Keiki Takadama, "Favor Information Presentation and its Effect for Collective-Adaptive Situation," the 16th International Conference on Human-Computer Interaction (HCII2014), Lecture Notes in Computer Science, Springer, pp 455-466, Crete, Greece, 2014.
  104. Keiki Takadama, Tomohiro Harada, Hiroyuki Kamata, Shinji Ozawa, Seisuke Fukuda, Shujiro Sawai, “Evaluating an Integration of Spacecraft Location Estimation with Crater Detection Toward SLIM”, International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS2014), Montreal, Canada, 2014.
  105. Yusuke Tajima, Masaya Nakata, Tomohiro Harada, Keiji Sato, Keiki Takadama, “Sleep Stage Estimation Using Synthesized Data of Heart Rate and Body Movement,” The AAAI 2014 Spring Symposia, Big Data Becomes Personal, Knowledge into Meaning, AAAI (The Association for the Advancement of Artificial Intelligence), pp. 63-68, 2014.
  106. Keiki Takadama, Tomohiro Harada, Hiroyuki Sato, Kiyohiko Hattori, “What is Needed to Promote an Asynchronous Program Evolution in Genetic Programing?”, Learning and Intelligent Optimization Conference (LION8), Lecture Notes in Computer Science, Springer-Verlag, pp 227-241, Florida, USA, 2014.
  107. Tomohiro Harada, Keiki Takadama, "Analyzing Program Evolution in Genetic Programming using Asynchronous Evaluation," In Pietro Liò, Orazio Miglino, Giuseppe Nicosia, Stefano Nolfi and Mario Pavone editors, Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems, ECAL 2013, pp. 713-720, Taormina, Italy, 2013.
  108. Tomohiro Harada, Keiki Takadama, "Asynchronous Evaluation based Genetic Programming, Comparison of Asynchronous and Synchronous Evaluation and its Analysis," 16th European Conference on Genetic Programming (EuroGP2013), Lecture Notes in Computer Science, Vol. 7831, Springer-Verlag, pp. 241-252, Vienna, Austria, 2013.
  109. Keiki Takadama, Yuya Sawadaishi, Tomohiro Harada, Yoshihiro Ichikawa, Keiji Sato, Kiyohiko Hattori, Hiroyuki Sato, Tomohiro Yamaguchi, “Towards Understanding of Pareto Solutions in Multi-Dimensional Space via Interactive System,” The 15th International Conference on Human-Computer Interaction (HCI International 2013), Lecture Notes in Computer Science, Vol. 8018, Springer–Verlag, pp. 137–146, 2013.
  110. Eri Homma, Toshinori Kagawa, Kiyohiko Hattori, Masayuki Otani, Masaya Nakata, Yoshihiro Ichikawa, Tomohiro Harada, Hiroyasu Matsushima, Keiji Sato, Keiki Takadama, and Nobuo Nakajima, "Estimation of Cooperation Navigation by Multiple Rovers Using Different Positioning Technique," The 29th International Symposium on Space Technology and Science (ISTS2013), 2013-j-06, 2013.
  111. Tomohiro Harada, Yoshihiro Ichikawa, Keiki Takadama, "Evolving Conditional Branch Program in Tierra-based Asynchronous Genetic Programming," The 6th International Conference on Soft Computing and Intelligent Systems, and the 13th International Symposium on Advanced Intelligent Systems (SCIS-ISIS2012), pp. 1023-2018, Kobe, Japan, 2012.
  112. Tomohiro Harada, Rie Usami, Keiki Takadama, Hiroyuki Kamata, Seiji Ozawa, Seisuke Fukuda, Shujiro Sawai, Computational Time Reduction of Evolutionary Spacecraft Location Estimation toward Smart Lander for Investigating Moon," The 11th International Symposium on Artificial Intelligence, Robotics and Automation on Space (i-SAIRAS2012), Torino, Italy, 2012.
  113. Yuya Sawadaishi, Tomohiro Harada, Yoshihiro Ichikawa, Keiki Takadama, "Interactive Assistant System for Understanding Pareto Solution in Multi-Dimensional Space," Triangle Symposium on Advanced ICT 2012 (TriSAI2012), Tokyo, Japan, 2012.
  114. Kiyohiko Hattori, Eri Homma, Masayuki Otani, Masaya Nakata, Yoshihiro Ichikawa, Hiroyasu Matsushima, Tomohiro Harada, Keiki Takadama, "Automatic Cartography Method by Cooperation of Autonomous Micro Robots and Its Verification Through Simulations," The International Conference on Humanized Systems 2012 (ICHS2012), 2012
  115. Tomohiro Harada, Keiki Takadama, "Adaptive Mutation Depending on Program Size in Asynchronous Program Evolution," The Third World Congress on Nature and Biologically Inspired Computing (NaBIC2011), pp. 440-445, Salamanca, Spain, 2011.
  116. Tomohiro Harada, Masayuki Otani, Hiroyasu Matsushima, Kiyohiko Hattori, and Keiki Takadama, "Evolving Complex Programs in Tierra-based On-Board Computer on UNITEC-1," The 61st International Astronautical Congress (IAC2010), IAC-10-D1.2.9, Prague, Czech, 2010.
  117. Tomohiro Harada, Masayuki Otani, Yoshihiro Ichikawa, Kiyohiko Hattori, Hiroyuki Sato, Keiki Takadama, "Robustness to Bit Inversion in Registers and Acceleration of Program Evolution in On-Board Computer," The 10th International Symposium on Artificial Intelligence, Robotics and Automation in Space (i-SAIRAS2010), pp. 802-809, Sapporo, Japan 2010.
  118. Keiki Takadama, Tomohiro Harada, Kent Nakazawa, Masayuki Otani, Hiroyasu Matsushima, and Kiyohiko Hattori, "Fly to Venus, Program Evolving On-Board Computer in UNITEC-1," The Third International Symposium on Robot and Artificial Intelligence, 2010.

国内学会論文 #

  1. 原田 智広，Enrique Alba，Gabriel Luque，「サロゲート型進化的アルゴリズムにおけるエネルギー消費量と探索性能の分析」，第40回ファジィシステムシンポジウム講演論文集（FSS 2024），pp. 49-54，2024．
  2. 大野 愉展，原田 智広，三浦 幸也，「制約付き多峰性多目的最適化問題に対する制約の考慮を切り替える進化的アルゴリズム 」，第25回進化計算研究会，pp. 133-140，2024．
  3. 塙 裕貴，原田 智広，三浦 幸也，「サロゲート型進化計算におけるモデルの推定精度が探索性能に与える影響の分析」，進化計算シンポジウム2023，pp. 105-112，2023．
  4. 狩野 仁深，原田 智広，三浦 幸也，「高コスト制約付き最適化問題に対する制約ランキングサロゲートを用いる適応的差分進化」，進化計算シンポジウム2023，pp. 346-353，2023．
  5. 竹中陽登，原田智広，三浦幸也，服部聖彦，松岡丈平，「深層強化学習を用いた大きさの異なる車両間の協調的な自動運転制御」，計測自動制御学会 システム・情報部門学術講演会2023 (SSI2023)，pp. 348-353，2023．
  6. 狩野 仁深，原田 智広，三浦 幸也，金崎 雅博，「消炎再着火を考慮したハイブリッドロケット設計に対する優劣推定型サロゲート差分進化の適用」，日本航空宇宙学会 第54期年会講演会，JSASS-2023-1022，2023．
  7. 中谷 玲雄，原田 智広，三浦 幸也，服部 聖彦，松岡 丈平，「深層強化学習を用いたラウンドアバウトにおける協調的な自動運転制御の創出」，第50回知能システムシンポジウム講演論文集，pp. 198-203，2023.
  8. 狩野 仁深，原田 智広，三浦 幸也，金崎 雅博，「優劣推定型サロゲート差分進化を用いたハイブリッドロケット設計」，第38回ファジィシステムシンポジウム，pp. 452-457，2022．
  9. 箱石 卓也，原田 智広，三浦 幸也，「Bilevel多目的進化計算を用いた感度分析のサンプリング効率向上」，第20回コンピューテーショナル・インテリジェンス研究会，pp. 47-52，2022．
  10. 狩野 仁深，原田 智広，三浦 幸也，「制約付き最適化問題に対する解の優劣推定に基づくサロゲートを用いた差分進化」，第21回進化計算学会研究会，pp. 77-84，2022．
  11. 辻野 幸希，原田 智広，ターウォンマット ラック，「ELMOEA/Dにおける代替評価モデル構築時の学習データ選択による探索性能への影響分析」，第49回知能システムシンポジウム，6 pages，2022．
  12. 原田 智広，「解の優劣推定に基づくサロゲート型進化的アルゴリズム」，進化計算シンポジウム2021，pp. 17-24，2021．
  13. 吉野 創平，原田 智広，ターウォンマット ラック，「代替評価を用いる遺伝的プログラミングにおける生存選択方法の効果の検証」，進化計算シンポジウム2021，pp. 149-155，2021．
  14. 原田 智広，服部 聖彦，「近隣車情報を用いた強化学習による自動運転制御〜報酬付与法の検討と制御挙動の分析〜」，情報処理学会 第187回マルチメディア通信と分散処理・第99回モバイルコンピューティングとパーベイシブシステム 第85回高度交通システムとスマートコミュニティ合同研究発表会，2021．
  15. 原田 智広，服部 聖彦，「車々間通信を用いた隣接車情報に基づく強化学習ベース自動運転制御の一検討」，センサネットワークとモバイルインテリジェンス研究会（SeMI），2020．
  16. 大塚 一路，原田 智広，ターウォンマット ラック，「多制約多目的最適化問題に対する変分オートエンコーダを用いる評価値推定と解修復による進化計算法」，第44回知能システムシンポジウム，2020．
  17. 野口 隼，原田 智広，ターウォンマット ラック，「制約条件を考慮したISDE+を用いた風力発電用風車の多目的設計最適化」，pp. 102-109，第17回進化計算学会研究会，2020．
  18. 吉野 創平，原田 智広，ターウォンマット ラック，「遺伝的プログラミングにおけるプログラム構造に着目した代替評価モデルの提案」，pp. 96-101，第17回進化計算学会研究会，2020．
  19. 村野 慧，原田 智広，ターウォンマット ラック，「多峰性プログラム最適化ベンチマークの提案と多峰性遺伝的プログラミングによる検証」，進化計算シンポジウム2019，P1-14，2019.
  20. 辻野 幸希，原田 智広，ターウォンマット ラック，「ELMOEA/Dにおける代替評価モデルの推定誤差と探索性能の関係性分析」，第16回進化計算学会研究会，pp. 64-71，2019．
  21. 藤巻 恵太，石井 稜大，原田 智広，ターウォンマット ラック，「対戦格闘ゲームAIにおけるモンテカルロ木探索のノード選択手法の改善」，2019年度情報処理学会関西支部支部大会，B-105，2019．
  22. Cai Yulin, Ruck Thawonmas, 原田 智広，「Commentary generation for video game live-streaming」，2019年度情報処理学会関西支部支部大会，B-107，2019．
  23. Zhang Yiming, Gao Ruoyu, Thawonmas Ruck, 原田 智広，「On the Performance of DQN in 2D and 3D Game Environments」，2019年度情報処理学会関西支部支部大会，B-109，2019．
  24. Niu Jiaao, Kanto Higashi, Pujana Paliyawan, Tomohiro Harada, Thawonmas Ruck，「Interactive art therapy based on scketch by using GAN」，2019年度情報処理学会関西支部支部大会，B-110，2019．
  25. 大伴 周也，磯林 知志，原田 智広，ターウォンマット ラック，「月面着陸最適候補の多目的選定問題におけるNSGA-IIとVNSを用いる最適化手法の提案」，第15回進化計算学会研究会，pp. 187-191，2019．
  26. 原田智広，「月着陸探査ミッションの最適着陸地点選定問題に対する分散型局所探索法の有効性の検証」，進化計算シンポジウム2018，P3-01，pp. 217-222，2018．
  27. 田島 友祐，上野 史，原田 智広，高玉 圭樹，「睡眠時無呼吸症候群患者のための無拘束型リアルタイム睡眠段階推定法」，ヘルスケア・医療情報通信技術研究会（MICT），電子情報通信学会，信学技報，2018．
  28. 問馬 樹，井上 千里、PALIYAWAN Pujana，草野 貴宏，Yunshi Liu，THAWONMAS Ruck，原田 智広，「モーションゲームのためのユニバーサルスケルトン構築」，2018 年度情報処理学会関西支部 支部大会，G-113，2018．
  29. 井上 秀保，高野 喜名，OUYANG Wenwen，伊藤 卓，THAWONMAS Ruck，原田 智広，「キュリオシティドリブンを用いた格闘ゲームAIの提案」，2018 年度情報処理学会関西支部 支部大会，G-114，2018．
  30. 野口 隼，石井 稜大，伊藤 卓，原田 智広，THAWONMAS Ruck，「ローリングホライゾン進化的アルゴリズムを用いたペルソナ格闘ゲームAI」，2018 年度情報処理学会関西支部 支部大会，G-115，2018．
  31. 佐藤 和那嘉，新家 歩，THAWONMAS Ruck，原田 智広，「GANとCNNを用いた絵画のカラー化」，2018 年度情報処理学会関西支部 支部大会，G-116，2018．
  32. 村野 慧，吉田 修武，原田 智広，ターウォンマット ラック，「プログラムの簡略化を用いる多峰性遺伝的プログラミングの検証」，第13回コンピューテーショナル・インテリジェンス研究会，計測自動制御学会，pp. 59-65，2018．
  33. 大塚 一路，海段 美紗希，原田 智広，ターウォンマット ラック， 「複数車種の同時最適化問題に対する代替評価モデルを用いた進化計算手法」，第14回進化計算学会研究会，進化計算学会，P3-3，2018．
  34. 原田 智広， 「半非同期進化法における探索履歴を用いた性能予測に基づく非同期性の適応的調整」，進化計算シンポジウム2017，進化計算学会，P1-02，pp. 9-16，2017．
  35. 原田 智広，上田 彰平，ターウォンマット ラック， 「遺伝的アルゴリズムによる感情とシチュエーションを想起させる川柳の自動生成」，計測自動制御学会 システム・情報部門 学術講演会 2017（SSI2017），SS03-04，pp. 456-461，2017．
  36. 原田 智広，高玉 圭樹， 「多目的最適化問題における評価時間の偏りが半非同期進化法に与える影響の分析」，第11回コンピューテーショナル・インテリジェンス研究会，計測自動制御学会，pp. 13-29，2017．（IEEE Computational Intelligence Society Japan Chapter Young Researcher Award, the 11th Symposium on Computational Intelligence受賞）
  37. 大伴 周也，原田 智広，ターウォンマット ラック， 「複数車種の同時最適化問題における共通部品情報と仮想親個体を用いた最適化手法の提案」，進化計算シンポジウム2017，進化計算学会，P2-19，pp. 245-249，2017．
  38. 大伴 周也，三浦 大智，原田 智広，ターウォンマット ラック， 「General Video Game Playingにおける遺伝的アルゴリズムを用いたパラメータ最適化 」，計測自動制御学会 システム・情報部門 学術講演会 2017（SSI2017），SS03-11，pp. 497-500，2017．
  39. 田島 友祐，村田 暁紀，原田 智広，高玉 圭樹， 「睡眠周期の変化に着目したリアルタイム睡眠段階再推定法」，ヘルスケア・医療情報通信技術研究会（MICT），電子情報通信学会，信学技報，vol. 117，no. 280，MICT2017-34，pp. 39-44，2017．
  40. 海段 美紗希，原田 智広，ターウォンマット ラック， 「代替評価モデルを用いる非同期多目的進化計算法における混雑度距離による有望解選択」，第13回進化計算学会研究会，pp. 73-80，2017．
  41. 吉田 修武，原田 智広，ターウォンマット ラック， 「木構造類似度を用いる多峰性遺伝的プログラミングにおける交叉法の検証」，第13回進化計算学会研究会，pp. 20-27，2017．
  42. [招待講演] 高玉 圭樹，原田 智広， 「宇宙機コンピュータシステムの強化に向けたプログラム創発」，第61回システム制御情報学会研究発表講演会（SCI'17），223-4，2017．
  43. 田島 友祐，原田 智広，高玉 圭樹， 「心拍数変動の類似性を考慮したリアルタイム睡眠段階推定」，第31回人工知能学会全国大会，3E1-OS-11a-4，2017．
  44. 吉田 修武，石原 誠，原田 智広，ターウォンマット ラック， 「アメーバからヒントを得た数理モデルを用いた格闘ゲームAIの提案」，第79回情報処理学会全国大会，6P-04，2017．
  45. 蒋 雨軒，鈴木 勝貴，原田 智広，ターウォンマット ラック， 「文字，数字，記号列によるAngry Birdsの面白いステージの自動生成」，第79回情報処理学会全国大会，6P-06，2017．
  46. 草野 貴宏，中川 裕登，プージャナー パリヤワン，原田 智広，ターウォンマット ラック， 「プレイヤー適応型健康促進のMotion Gaming AI」，第79回情報処理学会全国大会，6P-09，2017．
  47. 伊藤 卓，石原 誠，原田 智広，ターウォンマット ラック， 「格闘ゲームにおける多様性のあるゲームプレイのAIによる自動生成」，第44回知能システムシンポジウム，2017．
  48. 上原 知里，松本 和馬，田島 友祐，小峯 嵩裕，原田 智広，佐藤 寛之，髙玉 圭樹， 「覚醒と浅睡眠に着目した圧力センサに基づく非侵襲的睡眠段階推定とその精度向上」，第44回知能システムシンポジウム，2017．
  49. 山木清志，菅野智，川嶋隆宏，森島守人，高玉圭樹，原田智広，「快眠音による深睡眠改善効果をδパワーで実証」，日本睡眠学会第42回定期学術集会，P-191，2017．
  50. 原田 智広， 「非同期性を適応的に制御する半非同期進化的アルゴリズムの検討」，進化計算シンポジウム2016，進化計算学会，pp. 96-103，2016．
  51. 原田 智広， 「非同期リファレンス評価を用いる進化的アルゴリズムの選択・削除法の改良」，計測自動制御学会 システム・情報部門 学術講演会 2016（SSI2016），SS04-8，pp. 523-528，2016．（2016年システム・情報部門 SSI研究奨励賞）
  52. 原田 智広，川嶋 隆宏，森島 守人，高玉 圭樹， 「個人の睡眠特徴を考慮したリアルタイム睡眠深度推定の精度向上」，ヘルスケア・医療情報通信技術研究会（MICT），電子情報通信学会，信学技報，vol. 116，no. 224，MICT2016-47，pp. 63-68，2016．
  53. 中川 裕登, 原田 智広, ターウォンマット ラック， 「ゲームAI大会を通した格闘ゲームプラットフォームとそのゲームAIの分析」，ゲーム学会第15回全国大会，2016．
  54. 海段 美紗希，原田 智広，ターウォンマットラック， 「遺伝的アルゴリズムによるプレイヤーのスキルに適したAngry Birdsのレベル自動生成」，計測自動制御学会 システム・情報部門 学術講演会 2016（SSI2016），SS04-1，pp. 489-494，2016．
  55. 吉田 修武，朱 晉賢，石原 誠，中川 裕登，原田 智広，ターウォンマット ラック， 「オープンループサーチを用いた対戦格闘ゲーム AI の提案」，情報処理学会，2016年度情報処理学会関西支部支部大会，2016．
  56. 朱 晉賢，ターウォンマット ラック，原田 智広， 「Comparative analysis of Reinforcement Learning and Evolutionary Strategy in General Video Game Playing」，情報処理学会，第78回全国大会，pp. 2-163 – 2-164，5M-09，横浜，3月，2016．
  57. 蒋 雨軒，海段 美紗希，原田 智広，ターウォンマット ラック， 「建築物の生成ルールと中華風や和風の複数のモデルを用いたAngry Birdsのレベル自動生成」，情報処理学会，第78回全国大会，pp. 2-167 – 2-168，6M-02，横浜，3月，2016．
  58. 原田 智広， 「非同期進化的アルゴリズムにおける解と評価時間の関係性による影響の分析」，第9回進化計算シンポジウム2015，進化計算学会，2015．
  59. Chun Yin Chu，Ruck Thawonmas，Tomohiro Harada, 「Biasing Monte-Carlo Rollouts with Potential Field in General Video Game Playing」，情報処理学会，2015年度情報処理学会関西支部支部大会，G-107，2015．
  60. 中川 裕登，山本 界人，ターウォンマット ラック，原田 智広, 「対戦型格闘ゲームにおけるk-substring tree構造を用いた相手の行動予測と予測精度の向上」，情報処理学会，2015年度情報処理学会関西支部支部大会，G-106，2015．
  61. 森 和貴，山竹 浩史，レ ハイ バン，ターウォンマット ラック，原田智広, 「仮想空間における滞在時間を用いたコンテンツベース推薦手法の提案」，情報処理学会，2015年度情報処理学会関西支部支部大会，G-105，2015．
  62. 海段 美紗希，原田 智広，ターウォンマット ラック, 「遺伝的アルゴリズムのパラメータ調整によるプレイヤーのレベルに適したAngry Birdsのステージ自動生成」，情報処理学会，2015年度情報処理学会関西支部支部大会，G-104，2015．
  63. 石原 誠，宮崎 泰地，原田 智広，ターウォンマット ラック, 「Kinectを用いた対戦格闘ゲームにおけるユーザの運動量を向上させるAIの探求」，情報処理学会，2015年度情報処理学会関西支部支部大会，G-103，2015．
  64. 山木 清志，植屋 夕輝，石原 淳，森島 守人，原田 智広，高玉 圭樹，角谷 寛, 「生体リズムに連動した音と音色の違いによる睡眠に及ぼす影響」，第40回日本睡眠学会シンポジウム，日本睡眠学会，P-187，pp. 255，2015．
  65. 福田 盛介，鎌田 弘之，高玉 圭樹，野村 出，滝野 達也，入江 順也，永田 心，原田 智広，臼居 浩太郎，坂井 真一郎，澤井 秀次郎，SLIM WG, 「SLIM画像航法の検討」，第15回 宇宙科学シンポジウム (SSS 2015), 2015.
  66. 村田 暁紀，森本 紗矢香，神馬 隆博，原田 智広，佐藤 寛之，高玉 圭樹, 「階層型進化計算を用いた動的航空機着陸経路スケジューリング」，計測自動制御学会，第42回知能システムシンポジウム，2015．（ページ数なし）
  67. 原田 智広，高玉 圭樹, 「非同期評価に基づく遺伝的プログラミングによる機械語プログラムの進化」，計測自動制御学会，システム・情報部門，第7回関係論的システム科学調査研究会，2014．
  68. 原田 智広，高玉 圭樹, 「第三の親個体とそのアーカイブを用いたリファレンス評価による非同期進化」，第6回進化計算研究会，進化計算学会，pp. 23-32，2014．
  69. 髙野 諒，原田 智広，佐藤 寛之，髙玉 圭樹, 「時変環境における局所的情報共有に基づくArtificial Bee Colonyアルゴリズム」，情報処理学会，第101回数理モデル化と問題解決研究発表会，2014．
  70. 藤塚 拓馬，原田 智広，佐藤 寛之，高玉 圭樹, 「時系列行動を評価するパターンマイニングによる外出プラン推薦システム」，計測自動制御学会，システム・情報部門 学術講演会 2014 (SSI2014)，SS12-10，pp. 802-807，2014．
  71. 臼居 浩太郎，原田 智広，高玉 圭樹，鎌田 弘之，福田 盛介，澤井 秀次郎, 「ピンポイント着陸に向けたSLIM探査機の自己位置推定とその展開」，日本航空宇宙学会，第58回宇宙科学技術連合講演会，2H06, JSASS-2014-4466, 2014．
  72. 高玉 圭樹，原田 智広，鎌田 弘之，福田 盛介，澤井 秀次郎, 「システム統合におけるシステム間の関係性とその妥当性検証, SLIM（Smart Lander for Investigating Moon）における自己位置推定システムを例として」，計測自動制御学会，システム・情報部門，第7回関係論的システム科学調査研究会，2014．
  73. 石原 淳，森島 守人，原田 智広，田島 友祐，佐藤 圭二，高玉 圭樹, 「呼吸に連動した音が睡眠に及ぼす影響の予備的検討」，日本睡眠学会，第39回定期学術集会，P-010，2014．
  74. 高玉 圭樹，原田 智広，臼居 浩太郎，鎌田 弘之，小沢 愼治， 福田 盛介，澤井 秀次郎, 「SLIM画像航法の研究開発状況（その2, クレータマッチングアルゴリズム）」，第14回宇宙科学シンポジウム（SSS2014），2014．
  75. 福田 盛介，鎌田 弘之，高玉 圭樹，本田 翔平，入江 順也，永田 心，杉本 悠太，原田 智広，金澤 慧，小沢 愼治，中谷 幸治，坂井 真一郎，澤井 秀次郎, 「SLIM画像航法の研究開発状況（その3, ハードウェア実装，その他）」，第14回宇宙科学シンポジウム（SSS2014），2014．
  76. 原田 智広，高玉 圭樹, 「リファレンス評価による非同期進化，第三の親選択とそのアーカイブ」，進化計算シンポジウム2013，進化計算学会，pp. 362-369，2013．
  77. 原田 智広，杉本 悠太，高玉 圭樹，鎌田 弘之，小沢 愼治， 福田 盛介，澤井 秀次郎, 「SLIM における実撮影画像のクレータ検出からの自己位置推定 - クレータ誤検出にロバストな自己位置推定アルゴリズムの評価」，日本航空宇宙学会，第57回宇宙科学技術連合講演会，3F08(JSASS-2013-4581)，2013.
  78. 高玉 圭樹，原田 智広, 「Tierra型オンボードコンピュータにおけるプログラム進化とその可能性」，計測自動制御学会，システム・情報部門，第6回関係論的システム科学調査研究会，2013．
  79. 高玉 圭樹，杉本 悠太，原田 智広，金澤 慧，小沢 愼治，鎌田 弘之，中谷 幸司，福田 盛介，澤井 秀次郎, 「SLIM画像航法の研究開発状況（その2, クレータマッチングアルゴリズム）」，第3回小型科学衛星シンポジウム，2013
  80. 高玉 圭樹，杉本 悠太，原田 智広，金澤 慧，小沢 愼治，鎌田 弘之，中谷 幸司，福田 盛介，澤井 秀次郎, 「SLIM画像航法の研究開発状況（その2, クレータマッチングアルゴリズム）」，第13回宇宙科学シンポジウム（SSS2013），2013
  81. 福田 盛介，鎌田 弘之，高玉 圭樹，本田 翔平，田名網 敬大，青山 典史，武田 好明，杉本 悠太，原田 智広，金澤 慧，小沢 愼治，中谷 幸司，坂井 真一郎，澤井 秀次郎, 「SLIM画像航法の研究開発状況（その3, ハードウェア実装，その他）」，第13回宇宙科学シンポジウム（SSS2013），2013.
  82. 原田 智広，高玉 圭樹, 「非同期評価型遺伝的プログラミングによる性能向上と同期評価との比較」，進化計算シンポジウム2012，進化計算学会，pp. 167-174，2012．
  83. 佐藤 圭二，高玉 圭樹，大谷 雅之，市川 嘉裕，原田 智広，中田 雅也，佐藤 寛之，服部 聖彦, 「環境変化に対応するためのスワップ型一般化」，計測自動制御学会，システム・情報部門学術講演会2012（SSI2012），2C2-2，pp. 335-338，2012．
  84. 杉本 悠太，原田 智広，高玉 圭樹，鎌田 弘之，小沢 愼治，福田 盛介，澤井 秀次郎, 「SLIM探査機の自己位置推定手法のオンボード化とクレータ誤検出分析」，日本航空宇宙学会，第56回宇宙科学技術連合講演会，1G02(JSASS-2012-4135)，2012．
  85. 本間 恵理，服部 聖彦，加川 敏規，中田 雅也，原田 智広，市川 嘉裕，佐藤 圭二，大谷 雅之，松島 裕康，高玉 圭樹，中嶋 信生, 「SLIMプロジェクトに焦点をあてた月面縦穴探査のための複数ローバ協調ナビゲーション手法の提案と評価−複数の自律ローバ協調による測位と位置情報の累積演算を用いた絶対位置推定−」，日本航空宇宙学会，第56回宇宙科学技術連合講演会，1G04(JSASS-2012-4137)，2012．
  86. 高玉 圭樹，宇佐美 理絵，原田 智広，岡村 怜奈，鎌田 弘之，小沢 愼治，福田 盛介，澤井 秀次郎, 「SLIM小型探査機における着陸時の自己位置推定, 進化計算の宇宙への適用」，第12 回 宇宙科学シンポジウム(SSS 2012)，2012.
  87. 原田 智広，大谷 雅之，市川 嘉裕，服部 聖彦，佐藤 寛之，髙玉 圭樹, 「Tierra型オンボードコンピュータにおけるマルチビットアップセットへの耐性」，日本航空宇宙学会，第55回宇宙科学技術連合講演会，1A01(JSASS-2011-4016)，2011．
  88. 岡村 玲奈，原田 智広，髙玉 圭樹，鎌田 弘之，小沢 愼治，福田 盛介，澤井 秀次郎, 「SLIMにおける進化的三角形相似マッチングを用いた自己位置推定」，日本航空宇宙学会，第55回宇宙科学技術連合講演会，3H10(JSASS-2011-4545), 2011．
  89. 原田 智広，大谷 雅之，松島 裕康，服部 聖彦，佐藤 寛之，髙玉 圭樹, 「Tierra型非同期GA，プログラム進化と維持」, 進化計算シンポジウム2009，進化計算研究会，2009．
  90. 原田 智広，大谷 雅之，松島 裕康，服部 聖彦，髙玉 圭樹, 「Tierra 型宇宙機CPUにおける耐ビット反転とプログラム進化」，日本航空宇宙学会，第53回宇宙科学技術連合講演会2009．

特許 #

  1. 髙玉 圭樹，原田 智広，上原 知里，「睡眠段階判定装置、睡眠段階判定方法及びプログラム」，国立大学法人電気通信大学，東京都公立大学法人，6932351，2021/8/20．
  2. 髙玉 圭樹，原田 智広，「SLEEP STAGE ESTIMATING APPARATUS,BIOLOGICAL DATA ESTIMATING APPARATUS,SLEEP STAGE ESTIMATING METHOD,BIOLOGICAL DATA ESTIMATING METHOD,SLEEP STAGE ESTIMATING PROGRAM,AND BIOLOGICAL DATA ESTIMATING PROGRAM」，国立大学法人電気通信大学，US1,0617,345B2，2020/04/14．
  3. 髙玉 圭樹，原田 智広，「睡眠段階推定装置，生体データ推定装置，睡眠段階推定方法，生体データ推定方法，睡眠段階推定プログラムおよび生体データ推定プログラム」，国立大学法人電気通信大学，6652764，2020/01/28．
  4. 原田 智広，鈴木 多聞，伊東 卓男，「漏洩判定装置，漏洩判定システム，漏洩判定方法およびプログラム」，伊東公業株式会社，学校法人立命館，6547989，2019/07/05．

解説論文 #

  1. 原田 智広, 木下 貴登, 白石 洋輝, 高野 諒, 田島 友祐, 谷垣 勇輝, 苗村 伸夫, 西原 慧, 「オープンスペースディスカッション2023実施報告」, 進化計算学会論文誌, 15 巻, 1 号, p. 11-19, 2024． [paper]
  2. 谷垣 勇輝, 重中 秀介, 鷹見 竣希, 大西 正輝, 濱田 直希, 原田 智広, 「群集シミュレーションを用いた歩行者交通情報の推定」, 進化計算学会論文誌, 14 巻, 1 号, p. 18-28, 2023. [paper]
  3. 中田 雅也, 内種 岳詞, 串田 淳一, 田中 彰一郎, 谷垣 勇輝, 西原 慧, 原田 智広, 能島 裕介, 「オープンスペースディスカッション2022 実施報告」，進化計算学会論文誌，14巻，1号，pp. 12-17，2023． [paper]
  4. 原田 智広，吉田 諭史，笹嶋 宗彦，砂川 英一，「企業参加推進」，人工知能，Vol. 36，No. 6，2021． [paper]
  5. 米納 弘渡，伊藤 雅弘，原田 智広，吉田 諭史，「企業参加推進担当活動報告」，人工知能，Vol. 35，No. 6，2020． [paper]
  6. 高玉 圭樹，村田 暁紀，上野 史，田島 友祐，辰巳 嵩豊，原田 智広，「Well-being Computing：身体的・心理的・社会的健康増進技術と睡眠からの展望」，人工知能，Vol. 32，No. 1，2017． [paper]
  7. 高玉 圭樹，村田 暁紀，上野 史，田島 友祐，原田 智広，「快眠を導く音とは−心拍・呼吸に連動した音の睡眠への影響−」，人工知能，Vol. 31，No. 3，2016． [paper]

その他 #

  1. NII Shonan Meeting Report No. 130 "Artificial General Intelligence in Games: Where Play Mees Design and User Experience," Organizers: Ruck Thawonmas, Julian Togelius, Georgios N. Yannakakis, March 18-21, 2019, 担当箇所：Chapter 4 Team Sports for AI Benchmarking Revisited, Chapter 10 Game-based AI Benchmarks, Chapter 17 Optimization of Game Design with Parameter Tuning, Content Generation with Psychological Player Model.
  2. 高玉 圭樹，原田 智広， 「宇宙機コンピュータシステムの強化に向けたプログラム創発」，第61回システム制御情報学会研究発表講演会（SCI'17），223-4，2017．
  3. 原田 智広，「睡眠の質を向上する快眠音の探求」，立命館大学BKCライスボールセミナー第3クール「技術革新と社会」，2016年10月14日．