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Fingerprint Dive into the research topics where Satoshi Kurihara is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Multi agent systems Engineering & Materials Science
Reinforcement learning Engineering & Materials Science
Multi-agent Systems Mathematics
Sensor networks Engineering & Materials Science
Sensors Engineering & Materials Science
Topology Engineering & Materials Science
Disasters Engineering & Materials Science
Learning systems Engineering & Materials Science

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Research Output 1992 2018

Automatic plot generation framework for scenario creation

Kawano, Y., Takaya, E., Yamanobe, K. & Kurihara, S., 2018 Jan 1, Interactive Storytelling - 11th International Conference on Interactive Digital Storytelling, ICIDS 2018, Proceedings. Rouse, R., Haahr, M. & Koenitz, H. (eds.). Springer Verlag, p. 453-461 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11318 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Scenarios
Experiments
Breakdown
Degree of freedom
Scenario Generation

Proposition of VR-MR hybrid system for sharing living-in-room

Murata, N., Ueno, S., Suga, S., Kiyota, Y., Takaya, E. & Kurihara, S., 2018 Jun 8, RETech 2018 - Proceedings of the 2018 ACM Workshop on Multimedia for Real Estate Tech, Co-located with ICMR 2018. Association for Computing Machinery, Inc, p. 22-26 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hybrid systems
Virtual reality
Internet
Experiments

Putative Neural Network Within an Olfactory Sensory Unit for Nestmate and Non-nestmate Discrimination in the Japanese Carpenter Ant: The Ultra-structures and Mathematical Simulation

Takeichi, Y., Uebi, T., Miyazaki, N., Murata, K., Yasuyama, K., Inoue, K., Suzaki, T., Kubo, H., Kajimura, N., Takano, J., Omori, T., Yoshimura, R., Endo, Y., Hojo, M. K., Takaya, E., Kurihara, S., Tatsuta, K., Ozaki, K. & Ozaki, M., 2018 Sep 19, In : Frontiers in Cellular Neuroscience. 12, 310.

Research output: Contribution to journalArticle

Sensilla
Ants
Olfactory Receptor Neurons
Hydrocarbons
Gap Junctions
3 Citations (Scopus)

Accumulator based arbitration model for both supervised and reinforcement learning inspired by prefrontal cortex

Osawa, M., Ashihara, Y., Seno, T., Imai, M. & Kurihara, S., 2017 Jan 1, Neural Information Processing - 24th International Conference, ICONIP 2017, Proceedings. Springer Verlag, Vol. 10634 LNCS. p. 608-617 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10634 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Arbitration
Supervised learning
Reinforcement learning
Supervised Learning
Cortex

An examination of a novel information diffusion model for social media

Ikeda, K. & Kurihara, S., 2017 Oct 31, Reconstruction of the Public Sphere in the Socially Mediated Age. Springer Singapore, p. 93-117 25 p.

Research output: Chapter in Book/Report/Conference proceedingChapter

twitter
social media
examination
rumor
Earthquakes