Developing Tools for Networks of Processors
- Ortega de la Puente, Alfonso
- De la Cruz Echeandía, Marina
- Del Rosal, Emilio
- Navarrete Navarrete, Carmen
- Jiménez Martínez, Antonio
- De Lara, Juan
- Anguiano Rey, Eloy
- Cuéllar, Miguel
- Rojas Siles, José Miguel
- Ortega de la Puente, Alfonso (ed. lit.)
- Cruz Echeandía, Marina de la (ed. lit.)
ISSN: 2013-939X
Año de publicación: 2012
Título del ejemplar: Networks of Bioinspired Processors
Número: 7
Páginas: 25-59
Tipo: Artículo
Otras publicaciones en: Triangle: Language, Literature, Computation = Lenguaje, Literatura, Computación = Llenguatge, Literatura, Computació
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.