PUBLICATIONS

International journal

  1. Masahiko Osawa and Michita Imai, "A Robot for Test Bed Aimed at Improving Telepresence System and Evasion from Discomfort Stimuli by Online Learning" International Journal of Social Robotics (2018/4/15 accepted).

  2. Shoya Matsumori, Yuki Abe, Masahiko Osawa and Michita Imai, "Investigation of Incremental Learning as Temporal Feature Extraction", Procedia Computer Science, Vol.145 pp. 342-347, 2018.

  3. Masahiko Osawa and Michita Imai. "The Functional Plausibility of Topologically Extended Models of RBMs as Hippocampal Models." Procedia Computer Science Vol. 123 pp. 341-346, (2018)

International Conference

  1. Takuma Seno, Masahiko Osawa, Michita Imai, "Adaptive Semi-autonomous Agents via Episodic Control", 6th International Conference on Human-Agent Interaction, 2018

  2. Kohei Okuoka, Yusuke Takimoto, Masahiko Osawa and Michita Imai, "Semi-Aunotonomous Telepresence Robot for Adaptively Switching Operation using Inhibition and Disinhibition Mechanism", 6th International Conference on Human-Agent Interaction, 2018 (accepted for long presentation (29%))

  3. Shoya Matsumori, Yosuke Fukuchi, Masahiko Osawa and Michita Imai, "Do others believe what I believe? Estimating how much information is being shared by utterance timing", 6th International Conference on Human-Agent Interaction, 2018(accepted for long presentation (29%))

  4. Yosuke Fukuchi, Masahiko Osawa, Hiroshi Yamakawa, Tatsuji Takahashi and Michita Imai, "Bayesian Inference of Self-intention Attributed by Observer", 6th International Conference on Human-Agent Interaction, 2018, (accepted for long presentation (29%))

  5. Masahiko Osawa, Takashi Omori, Koichi Takahashi, Naoya Arakawa, Naoyuki Sakai, Michita Imai and Hiroshi Yamakawa, "Function Map-Driven Development for AGI", Annual International Conference on Biologically Inspired Cognitive Architectures, 2018.

  6. Takuma Seno, Masahiko Osawa and Michita Imai, "An Intrinsically Motivated Robot Explores Non-reward Environments With Output Arbitration", Annual International Conference on Biologically Inspired Cognitive Architectures, 2018. 

  7. Masahiko Osawa, Yuta Ashihara, Takuma Seno, Michita Imai and Satoshi Kurihara, "Accumulator Based Arbitration Model for both Supervised and Reinforcement Learning Inspired by Prefrontal Cortex", The 24th International Conference On Neural Information Processing, pp. 608-617, 2017

  8. Yosuke Fukuchi, Masahiko Osawa, Hiroshi Yamakawa and Michita Imai, "Application of Instruction-based Behavior Explanation to a Reinforcement Learning Agent with Changing Policy", The 24th International Conference On Neural Information Processing, pp. 100-108, 2017

  9. Yosuke Fukuchi, Masahiko Osawa, Michita Imai, and Hiroshi Yamakawa, "Autonomous Self-Explanation of Behavior for Interactive Reinforcement Learning Agents", 5th International Conference on Human-Agent Interaction, pp. 97-101, 2017. 

  10. Sei Ueno, Masahiko Osawa, Michita Imai, Tsuneo Kato and Hiroshi Yamakawa: Reinforcement Learning Framework for Robots in the Real World that Extends Cognitive Architecture: Prototype Simulation Environment “Re:ROS”.,Biologically Inspired Cognitive Architectures (BICA) for Young Scientists: Proceedings of the First International Early Research Career Enhancement School on BICA and Cybersecurity (FIERCES 2017), vol. 636, pp. 198--206, 2017

  11. Masahiko Osawa, Michita Imai, and Hiroshi Yamakawa: An Implementation of Working Memory Using Stacked Half Restricted Boltzmann Machine: Toward to Restricted Boltzmann Machine-Based Cognitive Architecture., The 23rd International Conference on Neural Information Processing, pp. 342-350, Kyoto, Japan, 2016.

  12. Hiroshi Yamakawa, Masahiko Osawa and Yutaka Matsuo: Whole Brain Architecture Approach Is a Feasible Way Toward an Artificial General Intelligence, The 23rd International Conference on Neural Information Processing, pp. 275-281, Kyoto, Japan, 2016.

  13. Hirokazu Kiyomaru, Masahiko Osawa and Hiroshi Yamakawa: BiCAmon: Activity monitoring tool on 3D connecome structures for various cognitive architectures, International Neuroinformatics Coordinating Facility Neuroinformatics 2016, Reading, United Kingdom, 2016.

  14. Masahiko Osawa and Masafumi Hagiwara: Analyses of Learning Characteristics of RBMs and an Automatic Method for Deciding the Number of Hidden Units, International Symposium on Advanced Intelligent Systems, F1a-5, Mokpo, Korea, 2015.

  15. Yu Yamagishi, Masahiko Osawa, and Masafumi Hagiwara: A Learning Method for Echo State Networks Using RBM, F1a-3, International Symposium on Advanced Intelligent Systems, Mokpo, Korea, 2015.​​​

Domestic Conference

Only Japanese Page

Magazine (in Japanese)

  1. Masahiko Osawa:, "Students Forum (95) Interview with Prof. Takanori Komatsu Study, Connect, Sympathize, and Raise Humans", Artificial Intelligence, Vol. 34, No. 1, pp.106-108, 2019

  2. Masahiko Osawa: "Two automatic tuning methods of the number of units in RBMs", The Brain & Neural Networks, Vol. 24, No. 4, p. 247, 2017 (in Japanese)

  3. Masahiko Osawa: "Integration and Disintegration of Academics to Approach Intelligence Gathering to share Opinions from Different Fields  ─ Artificial Intelligence, Cognitive Science, and Neuroscience ─", Artificial Intelligence, Vol. 32, No. 6, pp. 873-876, 2017 (in Japanese)

  4. Masahiko Osawa: “Whole Brain Architecture Future Leaders”, Artificial Intelligence, Vol. 32, No. 2, pp. 268–269, 2017 (in Japanese)

Award

  1. WBAI Incentive award,2018

  2. KTM Microsoft Imagine Cup AWARD, 2017

  3. Human-Agent Interaction Symposium Student Encouragement Award, 2017

  4. Japanese Neural Network Society Tournament Award, 2017

  5. BICA Research Prize, 2017

  6. KEIO TECHNO-MALL NTT Collaboration Award, 2016

  7. The Japan Society of Artificial Intelligence 30th Anniversary Encouragement Prize, 2016

  8. 2rd Whole Brain Architecture Hackathon Outstanding Performance Award (Both Amazing Department and Brain-like Department), 2016

  9. International Symposium on Advanced Intelligent Systems Best Presentation Award, 2015

  10. Keio University Annual Commendation Student, 2015

  11. IEEE Japan Chapter Young Researcher Award, 2014 (Youngest Record)

Invited Presentation

  1. Loohcs, 2018.

  2. The Asahi Shimbun DIALOG AI FORUM 2018

  3. Toyota Business Fair, 2018-3.

  4. COMEMO FES 2018, 2018-3

  5. Whole Brain Architecture Future Leaders Tohoku Branch Start Up​, "Aiming at an interdisciplinary understanding of human intelligence", 2018-2.

  6. Viewing Singularity from Various Perspectives:, 2018-.

  7. Nada High School Special Lecture, 2017-10

  8. The 179th Science and Technology Policy Meeting, "Make DORAEMON - Integration of Intelligent Research and Towards a Society with Doraemon", 2017-10.

  9. Business strategy cram school, "Know Current Status of AI - Can we make Doraemon?", 2017-10.

  10. Learning Artificial Intelligence by Whole Brain Architecture Future Leaders Kyushu Branch, "Artificial intelligence is the best academic discipline for me", 2017-9.

  11. The Computer Software Association of Japan "Toward to Rodent Level Artificial General Intelligence" 2017-6.

  12. Gathering to share Opinions from Different Fields - Artificial Intelligence, Cognitive Science, and Neuroscience, Road Map to Intelligence 2047 ,  2017-5

  13. Gathering to share Opinions from Different Fields - Artificial Intelligence, Cognitive Science, and Neuroscience Opening declaration, 2017-5

  14. Special Interest Group - Whole Brain Architecture, “Toward to Rodent Level Cognitive Architecture”, 2017-3.

  15. The 19th Workshop of the Whole Brain Architecture Future Leaders, “Ten selection of the thinking by a future Interdisciplinary researcher --- from view of the cognitive, neuro, and AI”, 2016-11.

  16. Special Interest Group - Whole Brain Architecture, ” Create Hippocampus --- RBM Based Cognitive Architecture”, 2016-7.

  17. The 14th Workshop of the Whole Brain Architecture Future Leaders: CASUAL TALK “About Whole Brain Architecture Future Leaders”, 2016-6.

  18. 1st WBA Symposium, Panelist, 2016-4.

  19. The 5th Workshop of the Whole Brain Architecture Future Leaders: Recurrent Neural Networks, Organizer, 2015-3.

  20. The 2nd Workshop of the Whole Brain Architecture Future Leaders: Convolutional Neural Networks, Organizer, 2015-11.

  21. The 1st Workshop of the Whole Brain Architecture Future Leaders: Deep Learning, Main Speaker 2014-10.

Media

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Copyright 2019 Masahiko Osawa

This web page is supported by Kohei Okuoka, Shoya Matsumori, Kosuke Yamada, Shiori Sawada, and Yu Ohata.