Developing Tools for Networks of Processors

Autores/as

  • Alfonso Ortega de la Puente
  • Marina De la Cruz Echeandía
  • Emilio Del Rosal
  • Carmen Navarrete Navarrete
  • Antonio Jiménez Martínez
  • Juan De Lara
  • Eloy Anguiano Rey
  • Miguel Cuéllar
  • José Miguel Rojas Siles

DOI:

https://doi.org/10.17345/triangle7.25-59

Palabras clave:

language, literature, computation

Resumen

A great deal of research eort is currently being made in the realm of so called natural computing. Natural computing mainly focuses on the denition, formal description, analysis, simulation and programming of new models of computation (usually with the same expressive power as Turing Machines) inspired by Nature, which makes them particularly suitable for the simulation of complex systems.

Some of the best known natural computers are Lindenmayer systems (Lsystems, a kind of grammar with parallel derivation), cellular automata, DNA computing, genetic and evolutionary algorithms, multi agent systems, arti- cial neural networks, P-systems (computation inspired by membranes) and NEPs (or networks of evolutionary processors). This chapter is devoted to this last model.

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Publicado

06/28/2018

Cómo citar

Ortega de la Puente, A., De la Cruz Echeandía, M., Del Rosal, E., Navarrete Navarrete, C., Jiménez Martínez, A., De Lara, J., Anguiano Rey, E., Cuéllar, M., & Rojas Siles, J. M. (2018). Developing Tools for Networks of Processors. Triangle, (7), 25–59. https://doi.org/10.17345/triangle7.25-59

Número

Núm. 7 (2012)

Sección

Articles

Licencia

TRIANGLE has been conceived as an open access online journal and paperback publication. It is licensed under the Creative Commons Attribution-ConComercial-NoDerivs 3.0 unported License.

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