Fuzzy molecular automaton using splicing theory Online publication date: Wed, 12-Nov-2014
by Kumar Sankar Ray; Mandrita Mondal
International Journal of Bio-Inspired Computation (IJBIC), Vol. 3, No. 5, 2011
Abstract: In this paper, we have developed a Turing machine or a finite automaton, which scans the input data tape in form of DNA sequences and inspires the basic design of DNA computer. This model based on splicing system can solve fuzzy reasoning autonomously by using DNA sequences and human assisted protocols. Its hardware consists of class IIS restriction enzyme and T4 DNA ligase while the software consists of double stranded DNA sequences and transition molecules which are capable of encoding fuzzy rules. Upon mixing solutions containing these components, the automaton undergoes a cascade of cleaving and splicing cycles to produce the computational result in form of double stranded DNA sequence representing automaton's final state. In this work, we have fused the idea of splicing system with the automata theory to develop fuzzy molecular automaton in which 1018 processors can work in parallel, requires a trillion times less space for information storage, 105 times faster than existing super computer and 1019 power operations can be performed using 1 Joule of energy.
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