Computational completeness of hybrid networks of evolutionary processors with seven nodes

Artiom Alhazov, Erzśebet Csuhaj-Varj́u, Carlos Mart́in-Vide, Yurii Rogozhin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

A hybrid network of evolutionary processors (an HNEP) is a graph where each node is associated with a language processor (an evolutionary processor), a set of words, an input filter and an output filter. The evolutionary processor performs one type of point mutations (insertion, deletion or substitution) on the words in that node. The filters are defined by certain variants of random-context conditions. In this paper, by improving our previous result, we prove that HNEPs with 7 nodes are able to generate any recursively enumerable language. We also show that the family of HNEPs with 2 nodes is not computationally complete.

Original languageEnglish
Title of host publicationDescriptional Complexity of Formal Systems - 10th International Workshop, DCFS 2008
PublisherUniversity of Prince Edward Island
Pages38-47
Number of pages10
ISBN (Print)9780919013568
Publication statusPublished - Jan 1 2008
Event10th International Workshop on Descriptional Complexity of Formal Systems, DCFS 2008 - Charlottetown, PE, Canada
Duration: Jul 16 2008Jul 18 2008

Publication series

NameDescriptional Complexity of Formal Systems - 10th International Workshop, DCFS 2008

Other

Other10th International Workshop on Descriptional Complexity of Formal Systems, DCFS 2008
CountryCanada
CityCharlottetown, PE
Period7/16/087/18/08

Keywords

  • Hybrid networks of evolutionary processors
  • Size complexity
  • Small universal systems

ASJC Scopus subject areas

  • Software

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  • Cite this

    Alhazov, A., Csuhaj-Varj́u, E., Mart́in-Vide, C., & Rogozhin, Y. (2008). Computational completeness of hybrid networks of evolutionary processors with seven nodes. In Descriptional Complexity of Formal Systems - 10th International Workshop, DCFS 2008 (pp. 38-47). (Descriptional Complexity of Formal Systems - 10th International Workshop, DCFS 2008). University of Prince Edward Island.