Paper Info
Title
Fuzzy molecular automaton using splicing theory
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 10<sup>18</sup> processors can work in parallel, requires a trillion times less space for information storage, 10<sup>5</sup> times faster than existing super computer and 10<sup>19</sup> power operations can be performed using 1 Joule of energy.
Year
DOI
Venue
2011
10.1504/IJBIC.2011.042258
IJBIC
Keywords
Field
DocType
splicing cycle,finite automaton,splicing system,dna computer,dna sequence,splicing theory,super computer,fuzzy rule,fuzzy reasoning autonomously,t4 dna ligase,fuzzy molecular automaton,dna computing,fuzzy set,turing machine,automaton
Computer science,Theoretical computer science,Artificial intelligence,Automata theory,Continuous automaton,Mobile automaton,Fuzzy logic,Algorithm,Finite-state machine,Turing machine,Pushdown automaton,Machine learning,DNA computing
Journal
Volume
Issue
ISSN
3
5
1758-0366
Citations 
PageRank 
References 
2
0.40
5
Authors
2
Name
Order
Citations
PageRank
kumar sankar ray mondal120.40
Mandrita Mondal283.74