Autonomous forward inference via DNA computing |
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作者姓名: | Fu Yan Li Gen Li Yin and Meng Dazh |
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作者单位: | 1. DNA Computing Research Group, Department of Operational Research and Cybernetics, Institute of Applied Science, Beijing University of Technology, Beijing 100022, China; 2. Department of Informatics and Mathematical Modeling, Technical University of Denmark, Copenhagen, Denmark |
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摘 要: | Recent studies direct the researchers into building DNA computing machines with intelligence, which is measured by three main points: autonomous, programmable and able to learn and adapt. Logical inference plays an important role in programmable information processing or computing. Here we present a new method to perform autonomous molecular forward inference for expert system. A novel repetitive recognition site (RRS) technique is invented to design rule-molecules in knowledge base. The inference engine runs autonomously by digesting the rule-molecule, using a Class IIB restriction enzyme PpiI. Concentration model has been built to show the feasibility of the inference process under ideal chemical reaction conditions. Moreover, we extend to implement a triggering communication between molecular automata, as a further application of the RRS technique in our model.
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Autonomous forward inference via DNA computing |
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Authors: | Fu Yan Li Gen Li Yin and Meng Dazh |
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Abstract: | Recent studies direct the researchers into building DNA computing machines with intelligence, which is measured by three main points: autonomous, programmable and able to learn and adapt. Logical inference plays an important role in programmable information processing or computing. Here we present a new method to perform autonomous molecular forward inference for expert system. A novel repetitive recognition site (RRS) technique is invented to design rule-molecules in knowledge base. The inference engine runs autonomously by digesting the rule-molecule, using a Class IIB restriction enzyme PpiI. Concentration model has been built to show the feasibility of the inference process under ideal chemical reaction conditions. Moreover, we extend to implement a triggering communication between molecular automata, as a further application of the RRS technique in our model. |
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Keywords: | RRS technique forward inference triggering communication molecular automaton |
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