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Daisuke Uragami

Showing results (1-10 of 7) with videos related to

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Bio Systems|February 11, 2014
Multilayered neural network with structural lateral inhibition for incremental learning and conceptualizationDaisuke Uragami, Hiroyuki Ohta
Bio Systems|July 10, 2026
Quantifying Quantum-Like Structure in Rough Set Lattices: Numerical Indices for Complex and Intelligent SystemsDaisuke Uragami, Yukio-Pegio Gunji
Entropy (Basel, Switzerland)|November 27, 2021
Computational Power of Asynchronously Tuned Automata Enhancing the Unfolded Edge of ChaosYukio-Pegio Gunji, Daisuke Uragami
Entropy (Basel, Switzerland)|December 8, 2020
Breaking of the Trade-Off Principle between Computational Universality and Efficiency by Asynchronous UpdatingYukio-Pegio Gunji, Daisuke Uragami
Bio Systems|July 20, 2024
Social satisficing: Multi-agent reinforcement learning with satisficing agentsDaisuke Uragami, Noriaki Sonota, Tatsuji Takahashi
Bio Systems|May 20, 2016
Robotic action acquisition with cognitive biases in coarse-grained state spaceDaisuke Uragami, Yu Kohno, Tatsuji Takahashi
Bio Systems|December 4, 2013
Cognitively inspired reinforcement learning architecture and its application to giant-swing motion controlDaisuke Uragami, Tatsuji Takahashi, Yoshiki Matsuo
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Bio Systems|February 11, 2014
Multilayered neural network with structural lateral inhibition for incremental learning and conceptualizationDaisuke Uragami, Hiroyuki Ohta
Bio Systems|July 10, 2026
Quantifying Quantum-Like Structure in Rough Set Lattices: Numerical Indices for Complex and Intelligent SystemsDaisuke Uragami, Yukio-Pegio Gunji
Entropy (Basel, Switzerland)|November 27, 2021
Computational Power of Asynchronously Tuned Automata Enhancing the Unfolded Edge of ChaosYukio-Pegio Gunji, Daisuke Uragami
Entropy (Basel, Switzerland)|December 8, 2020
Breaking of the Trade-Off Principle between Computational Universality and Efficiency by Asynchronous UpdatingYukio-Pegio Gunji, Daisuke Uragami
Bio Systems|July 20, 2024
Social satisficing: Multi-agent reinforcement learning with satisficing agentsDaisuke Uragami, Noriaki Sonota, Tatsuji Takahashi
Bio Systems|May 20, 2016
Robotic action acquisition with cognitive biases in coarse-grained state spaceDaisuke Uragami, Yu Kohno, Tatsuji Takahashi
Bio Systems|December 4, 2013
Cognitively inspired reinforcement learning architecture and its application to giant-swing motion controlDaisuke Uragami, Tatsuji Takahashi, Yoshiki Matsuo
Pageof 1