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Implementation of Recursively Enumerable Languages in Universal Turing Machine

Authors: Sumitha C. H; Krupa Ophelia Geddam;

Implementation of Recursively Enumerable Languages in Universal Turing Machine

Abstract

This paper presents the design and working of a Universal Turing Machine (UTM) for the JFLAP platform. Automata play a major role in compiler design and parsing. The class of formal languages that work for the most complex problems belong to the set of Recursively Enumerable Languages (REL). RELs are accepted by the type of automata known as Turing Machines. Turing Machines are the most powerful computational machines and are the theoretical basis for modern computers. Still it is a tedious task to create and maintain Turing Machines for all the problems. To solve this Universal Turing Machine (UTM) is designed in this paper. The UTM works for all classes of languages including regular languages, Context Free Languages as well as Recursively Enumerable Languages. A UTM simulates any other TM, thus providing a single model and solution for all the computational problems. The creation of UTM is very tedious because of the underlying complexities. Also many of the existing tools do not support the creation of UTM which makes the task very difficult to accomplish. Hence a Universal Turing Machine is developed for the JFLAP platform. JFLAP is most successful and widely used tool for visualizing and simulating all types of automata.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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