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Asynchronous superimposition mechanisms of concurrent competitve waves for hyper-distributed hyper-parallel heuristic problem solving

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Abstract

This paper presents a new approach to hyper-distributed hyper-parallel heuristic AI problem solving, which is based on asynchronous superimposition of synchronous homogeneous concurrent propagations of competitive waves. In comparison with synchronous homogeneous mechanism, the proposed approach shows better generality, suitability and feasibility for real-time AI processing, especially for the search of implicit AND/OR graphs.

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References

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  2. Perez-Munuzuri V, Perez-VillarV, ChuaL O. Autowaves for image processing on a two-dimensional CNN array of excitable nonlinear circuits: Flat and wrinkled labyrinths.IEEE Trans. Circuits and Systems, 1993, 40(3). X. Synchronous-homogeneous concurrent propagation mechanism of competitive waves for hyper-distributed hyper-parallel AI processing. InProc. IEEE MFI’ 1996, Washington, USA, pp. 312–319, December, 1996.

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Authors and Affiliations

  1. Department of Computer Science and Technology, Xi’an University of Electronic Science and Technology, 710071, Xi’an

    Shuai Dianxun

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  1. Shuai Dianxun
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Supported by the CNHTDP under No.5120402 and the research foundation of Kyoto Sangyo University in Japan.

Shuai Dianxun is a Professor of the Department of Computer Science, Xi’an University of Electronic Science and Technology, China, with his Ph.D degree in computer science and technology. As a senior visiting scholar, he did research work in Tohoku University, Japan, during 1980–1982, in Minnesota University and CDC, USA in 1987, and in Doshisha University and Kyoto Sangyo University, Japan in 1993–1996. His research interests are artificial intelligence, computer architecture and distributed parallel processing.

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Shuai, D. Asynchronous superimposition mechanisms of concurrent competitve waves for hyper-distributed hyper-parallel heuristic problem solving. J. of Comput. Sci. & Technol. 12, 330–336 (1997). https://doi.org/10.1007/BF02943152

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  • DOI: https://doi.org/10.1007/BF02943152

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