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Amoeba-inspired computing architecture implemented using charge dynamics in parallel capacitance network
Title: | Amoeba-inspired computing architecture implemented using charge dynamics in parallel capacitance network |
Authors: | Kasai, Seiya Browse this author →KAKEN DB | Aono, Masashi Browse this author | Naruse, Makoto Browse this author |
Issue Date: | 14-Oct-2013 |
Publisher: | American Institute of Physics |
Journal Title: | Applied Physics Letters |
Volume: | 103 |
Issue: | 16 |
Start Page: | 163703 |
Publisher DOI: | 10.1063/1.4826143 |
Abstract: | We propose an electronic system for implementing a biologically inspired computing architecture, called "amoeba-inspired computing," for solving computationally demanding problems. The system consists of a parallel capacitance network. The spatiotemporal dynamics of an amoeboid organism exhibiting the sophisticated ability of exploring a solution space is mimicked using dynamics in charging the capacitors under charge conservation. The system for solving an instance of a four-variable constraint satisfaction problem (CSP) is implemented using an electronic circuit simulator, which successfully finds solutions. We also found that small fluctuations inherently involved in electronic devices can be used to explore solution space. (C) 2013 AIP Publishing LLC. |
Rights: | Copyright 2013 American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. The following article appeared in Appl. Phys. Lett. 103, 163703(2013) and may be found at http://scitation.aip.org/content/aip/journal/apl/103/16/10.1063/1.4826143 |
Type: | article |
URI: | http://hdl.handle.net/2115/54551 |
Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 葛西 誠也
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