On the Power of Small Size Insertion P Systems
Author(s) -
Alexander Krassovitskiy
Publication year - 2011
Publication title -
international journal of computers communications and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.422
H-Index - 33
eISSN - 1841-9844
pISSN - 1841-9836
DOI - 10.15837/ijccc.2011.2.2175
Subject(s) - recursively enumerable language , morphism , regular language , context (archaeology) , computer science , symbol (formal) , inverse , rule based machine translation , expressive power , mathematics , combinatorics , coding (social sciences) , discrete mathematics , theoretical computer science , algorithm , automaton , artificial intelligence , programming language , geometry , biology , paleontology , statistics
In this article we investigate insertion systems of small size in the framework of P systems. We consider P systems with insertion rules having one symbol context and we show that they have the computational power of context-free matrix grammars. If contexts of length two are permitted, then any recursively enumerable language can be generated. In both cases a squeezing mechanism, an inverse morphism, and a weak coding are applied to the output of the corresponding P systems. We also show that if no membranes are used then corresponding family is equal to the family of context-free languages.
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