Membrane computing and complexity theory: A characterization of PSPACE

  • Authors:
  • Petr Sosík;Alfonso Rodríguez-Patón

  • Affiliations:
  • Departamento de Inteligencia Artificíal, Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo s/n, Boadilla del Monte, 28660 Madrid, Spain and Institut ...;Departamento de Inteligencia Artificíal, Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo s/n, Boadilla del Monte, 28660 Madrid, Spain

  • Venue:
  • Journal of Computer and System Sciences
  • Year:
  • 2007

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Abstract

A P system is a natural computing model inspired by information processing in cells and cellular membranes. We show that confluent P systems with active membranes solve in polynomial time exactly the class of problems PSPACE. Consequently, these P systems prove to be equivalent (up to a polynomial time reduction) to the alternating Turing machine or the PRAM computer. Similar results were achieved also with other models of natural computation, such as DNA computing or genetic algorithms. Our result, together with the previous observations, suggests that the class PSPACE provides a tight upper bound on the computational potential of biological information processing models.