DNA strand displacement based fuzzy inference engine

What is it about?

A fuzzy inference engine using DNA strand displacement operation is proposed.

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Why is it important?

Decision-making systems are an integral part of any autonomous device. With the recent developments in bionanorobots, smart drugs, and engineered viruses, there is an immediate need of decision-making systems which are biocompatible in nature. DNA is considered a perfect candidate for designing the computing systems in such decision-making systems because of their bio-compatibility and programmability. Complex biological systems can be easily modeled/controlled using fuzzy logic operations with the help of linguistic rules. In this paper, we propose an enzyme-free DNA strand displacement based architecture of fuzzy inference engine using the fuzzy operators such as fuzzy intersection and union. The basic building blocks of this architecture are minimum, maximum and fan-out gates. All these gates are analog in nature, which means that the input/output values of the gates are represented by the concentration of the input/output DNA strands. To demonstrate the performance of the proposed architecture, a detailed design, analysis, and kinetic simulation of each gate were carried out. Finally, the minimum and maximum gates are cascaded according to the pre-defined rules to design the fuzzy inference engine. All these DNA circuits are implemented and simulated in Visual DSD software.