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Masashi Aono
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2020 – today
- 2022
- [c14]Pengyu Huang, Kaijie Wei, Hideharu Amano, Kaori Ohkoda, Masashi Aono:
Multi-board FPGA Implementation to Solve the Satisfiability Problem for Multi-Agent Path Finding in Smart Factory. CANDARW 2022: 406-410 - 2021
- [c13]Ying Jie Yan, Hideharu Amano, Masashi Aono, Kaori Ohkoda, Shingo Fukuda, Kenta Saito, Seiya Kasai:
Resource-saving FPGA Implementation of the Satisfiability Problem Solver: AmoebaSATslim. FPT 2021: 1-5 - 2020
- [j16]Anh Hoang Ngoc Nguyen
, Masashi Aono, Yuko Hara-Azumi:
FPGA-Based Hardware/Software Co-Design of a Bio-Inspired SAT Solver. IEEE Access 8: 49053-49065 (2020) - [j15]Naoki Takeuchi
A Circuit-Level Amoeba-Inspired SAT Solver. IEEE Trans. Circuits Syst. II Express Briefs 67-II(10): 2139-2143 (2020)
2010 – 2019
- 2019
- [c12]Anh Hoang Ngoc Nguyen, Masashi Aono
FPGA-Based amoeba-inspired SAT solver for cyber-physical systems. ICCPS 2019: 316-317 - [c11]Anh Hoang Ngoc Nguyen
Amoeba-Inspired Hardware SAT Solver with Effective Feedback Control. FPT 2019: 243-246 - [c10]Song-Ju Kim, Kaori Ohkoda, Masashi Aono
Reinforcement Learning System Comprising Resistive Analog Neuromorphic Devices. IRPS 2019: 1-6 - [c9]Kazuaki Hara, Naoki Takeuchi
Amoeba-Inspired Stochastic Hardware SAT Solver. ISQED 2019: 151-156 - 2018
- [j14]Zachary R. Adam
Prebiotic Geochemical Automata at the Intersection of Radiolytic Chemistry, Physical Complexity, and Systems Biology. Complex. 2018: 9376183:1-9376183:21 (2018) - [j13]Kenta Saito, Naoki Suefuji, Seiya Kasai, Masashi Aono:
Amoeba-inspired Electronic Computing System and its Application to Autonomous Walking of a Multi-legged Robot. FLAP 5(9): 1799-1814 (2018) - [j12]Makoto Naruse
Category Theoretic Analysis of Photon-Based Decision Making. Int. J. Inf. Technol. Decis. Mak. 17(5): 1305-1333 (2018) - [c8]Kenta Saito, Naoki Suefuji, Seiya Kasai, Masashi Aono
Amoeba-Inspired Electronic Solution-Searching System and Its Application to Finding Walking Maneuver of a Multi-legged Robot. ISMVL 2018: 127-131 - [i6]Naoki Takeuchi, Masashi Aono, Yuko Hara-Azumi, Christopher L. Ayala:
A Circuit-Level Amoeba-Inspired SAT Solver. CoRR abs/1812.11792 (2018) - 2016
- [i5]Makoto Naruse, Song-Ju Kim, Masashi Aono, Martin Berthel, Aurélien Drezet, Serge Huant, Hirokazu Hori:
Category theoretic analysis of single-photon decision maker. CoRR abs/1602.08199 (2016) - 2015
- [i4]Song-Ju Kim, Masashi Aono:
Decision Maker using Coupled Incompressible-Fluid Cylinders. CoRR abs/1502.03890 (2015) - [i3]Song-Ju Kim, Makoto Naruse, Masashi Aono:
Harnessing Natural Fluctuations: Analogue Computer for Efficient Socially Maximal Decision Making. CoRR abs/1504.03451 (2015) - 2014
- [j11]Masashi Aono
Amoeba-inspired Tug-of-War algorithms for exploration-exploitation dilemma in extended Bandit Problem. Biosyst. 117: 1-9 (2014) - [i2]Song-Ju Kim, Masashi Aono, Etsushi Nameda:
Efficient Decision-Making by Volume-Conserving Physical Object. CoRR abs/1412.6141 (2014) - 2013
- [j10]Liping Zhu, Masashi Aono
Amoeba-based computing for traveling salesman problem: Long-term correlations between spatially separated individual cells of Physarum polycephalum. Biosyst. 112(1): 1-10 (2013) - [j9]Makoto Naruse
Nanoscale Photonic Network for Solution Searching and Decision Making Problems. IEICE Trans. Commun. 96-B(11): 2724-2732 (2013) - [i1]Makoto Naruse, Masashi Aono, Song-Ju Kim:
Nanoscale photonic network for solution searching and decision making problems. CoRR abs/1304.5649 (2013) - 2011
- [j8]Masashi Aono, Liping Zhu, Masahiko Hara:
Amoeba-based Neurocomputing for 8-City Traveling Salesman Problem. Int. J. Unconv. Comput. 7(6): 463-480 (2011) - [j7]Masashi Aono
Greedy versus social: resource-competing oscillator network as a model of amoeba-based neurocomputer. Nat. Comput. 10(4): 1219-1244 (2011) - 2010
- [j6]Kazunari Ozasa, Masashi Aono
Simulation of neurocomputing based on the photophobic reactions of Euglena with optical feedback stimulation. Biosyst. 100(2): 101-107 (2010) - [j5]Song-Ju Kim, Masashi Aono
Tug-of-war model for the two-bandit problem: Nonlocally-correlated parallel exploration via resource conservation. Biosyst. 101(1): 29-36 (2010) - [j4]Masashi Aono, Masahiko Hara, Kazuyuki Aihara, Toshinori Munakata:
Amoeba-Based Emergent Computing: Combinatorial Optimization and Autonomous Meta-Problem Solving. Int. J. Unconv. Comput. 6(2): 89-108 (2010) - [c7]Song-Ju Kim, Masashi Aono
Tug-of-War Model for Multi-armed Bandit Problem. UC 2010: 69-80
2000 – 2009
- 2009
- [j3]Masashi Aono
Amoeba-based Chaotic Neurocomputing: Combinatorial Optimization by Coupled Biological Oscillators. New Gener. Comput. 27(2): 129-157 (2009) - [c6]Masashi Aono
Resource-Competing Oscillator Network as a Model of Amoeba-Based Neurocomputer. UC 2009: 56-69 - [c5]Kazunari Ozasa, Masashi Aono
Simulation of Neurocomputing Based on Photophobic Reactions of Euglena: Toward Microbe-Based Neural Network Computing. UC 2009: 209-218 - [c4]Song-Ju Kim, Masashi Aono, Masahiko Hara:
Tug-Of-War Model for Two-Bandit Problem. UC 2009: 289 - 2008
- [j2]Masashi Aono
Spontaneous deadlock breaking on amoeba-based neurocomputer. Biosyst. 91(1): 83-93 (2008) - [c3]Masashi Aono, Masahiko Hara:
Combinatorial optimization and self-disciplined computing by amoeba-based neurocomputer. ALIFE 2008: 746 - 2007
- [j1]Masashi Aono
Amoeba-based neurocomputing with chaotic dynamics. Commun. ACM 50(9): 69-72 (2007) - [c2]Masashi Aono, Yoshito Hirata
Combinatorial Optimization by Amoeba-Based Neurocomputer with Chaotic Dynamics. IWNC 2007: 1-15 - [c1]Masashi Aono, Masahiko Hara:
Amoeba-Based Nonequilibrium Neurocomputer Utilizing Fluctuations and Instability. UC 2007: 41-54
Coauthor Index
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