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An evolvable proteomic computing method for robust artificial chemistry systems

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Abstract

This paper proposes a novel computational model based on proteomic computing and leading to the construction of a robust artificial chemistry system. the dynamic description for pathways, the evolutionary mechanism, and the robustness are discussed. Furthermore, a preliminary simulation experiment shows the merits of our method for potential applications.

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Author information

Authors and Affiliations

  1. ATR Human Information Science Laboratories, 2-2-2 Hikaridai, 619-0288, “Kehanna Science City”, Kyoto, Japan

    Jian-Qin Liu & Katsunori Shimohara

  2. College of Information Science and Engineering, Central South University, Changsha, China

    Jian-Qin Liu

Authors
  1. Jian-Qin Liu
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  2. Katsunori Shimohara
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Additional information

This is a revised manuscript based on our previous presentation at the conference AROB 6th '01 which is included in the Proceedings of the Sixth International Symposium on Artificial Life and Robotics (AROB 6th '01). January 15–17, 2001, U-Port, Gotanda, Tokyo, Japan, p. 397–400.

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Liu, JQ., Shimohara, K. An evolvable proteomic computing method for robust artificial chemistry systems. Artif Life Robotics 6, 126–128 (2002). https://doi.org/10.1007/BF02481326

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  • DOI: https://doi.org/10.1007/BF02481326

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