Artículo
Spiking neural P systems with extended rules: universality and languages
Autor/es | Chen, Haiming
Ionescu, Mihai Ishdorj, Tseren-Onolt Paun, Andrei Paun, Gheorghe Pérez Jiménez, Mario de Jesús |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2008 |
Fecha de depósito | 2017-12-27 |
Publicado en |
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Resumen | We consider spiking neural P systems with rules allowed to introduce zero, one,
or more spikes at the same time. The motivation comes both from constructing small
universal systems and from generating strings; previous ... We consider spiking neural P systems with rules allowed to introduce zero, one, or more spikes at the same time. The motivation comes both from constructing small universal systems and from generating strings; previous results from these areas are briefly recalled. Then, the computing power of the obtained systems is investigated, when considering them as number generating and as language generating devices. In the first case, a simpler proof of universality is obtained, while in the latter case we find characterizations of finite and recursively enumerable languages (without using any squeezing mechanism, as it was necessary in the case of standard rules). The relationships with regular languages are also investigated. |
Agencias financiadoras | Ministerio de Educación y Ciencia (MEC). España Junta de Andalucía |
Identificador del proyecto | TIN2005-09345-C03-01
TIC-581 |
Cita | Chen, H., Ionescu, M., Ishdorj, T., Paun, A., Paun, G. y Pérez Jiménez, M.d.J. (2008). Spiking neural P systems with extended rules: universality and languages. Natural Computing, 7 (2), 147-166. |
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