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Some Computational Issues in Membrane Computing

  • Oscar H. Ibarra
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3618)

Abstract

Membrane computing is a branch of molecular computing that aims to develop models and paradigms that are biologically motivated. It identifies an unconventional computing model, namely a P system, from natural phenomena of cell evolutions and chemical reactions. Because of the nature of maximal parallelism inherent in the model, P systems have a great potential for implementing massively concurrent systems in an efficient way that would allow us to solve currently intractable problems (in much the same way as the promise of quantum and DNA computing) once future bio-technology (or silicon-technology) gives way to a practical bio-realization (or chip realization). Here we report on recent results that answer some interesting and fundamental open questions in the field. These concern computational issues such as determinism versus nondeterminism, membrane and alphabet-size hierarchies, and various notions of parallelism.

Keywords

Catalytic System Input Symbol Computational Issue Reachability Problem Input Alphabet 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Oscar H. Ibarra
    • 1
  1. 1.Department of Computer ScienceUniversity of CaliforniaSanta BarbaraUSA

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