Observatorio de I+D+i UPM

Memorias de investigación
Book chapters:
Networks of Polarized Evolutionary Processors Are Computationally Complete
Year:2014
Research Areas
  • Information technology and adata processing
Information
Abstract
In this paper, we consider the computational power of a new variant of networks of evolutionary processors which seems to be more suitable for a software and hardware implementation. Each processor as well as the data navigating throughout the network are now considered to be polarized. While the polarization of every processor is predefined, the data polarization is dynamically computed by means of a valuation mapping. Consequently, the protocol of communication is naturally defined by means of this polarization. We show that tag systems can be simulated by these networks with a constant number of nodes, while Turing machines can be simulated, in a time-efficient way, by these networks with a number of nodes depending linearly on the tape alphabet of the Turing machine.
International
Si
10.1007/978-3-319-04921-2_8
Book Edition
Book Publishing
Springer International Publishing
ISBN
978-3-319-04920-5
Series
Lecture Notes in Computer Science
Book title
Language and Automata Theory and Applications
From page
101
To page
112
Participants
  • Autor: Fernando Arroyo Montoro (UPM)
  • Autor: Sandra Maria Gomez Canaval (UPM)
  • Autor: Victor Mitrana (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Sistemas Informáticos
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