dc.creator | Macías Ramos, Luis Felipe | |
dc.creator | Song, Tao | |
dc.creator | Pan, Linqiang | |
dc.creator | Pérez Jiménez, Mario de Jesús | |
dc.date.accessioned | 2016-01-29T08:37:17Z | |
dc.date.available | 2016-01-29T08:37:17Z | |
dc.date.issued | 2014 | |
dc.identifier.isbn | 978-84-940056-4-0 | es |
dc.identifier.uri | http://hdl.handle.net/11441/33565 | |
dc.description.abstract | Spiking neural P systems (SN P systems for short) is a developing field
within the P systems world. Inspired by the neurophysiological structure of the brain,
these systems have been subjected to many extensions in recent years, many of
them intended to “somewhat” incorporate more and more features inspired by the
functioning of the living neural cells. Although when first introduced in SN P systems
were considered to work in synchronous mode, it became clear that considering nonsynchronized
systems would be rather natural both from both from a mathematical and
neuro-biological point of view. Asynchronous variants of these systems were introduced
in, setting up a scenario where even if a neuron had enabled rules ready to fire,
such rules non-deterministically could be not applied. Once new theoretical variants are
defined, providing simulation software tools enables experimental study and validation of
the proposed models. One more than promising developing branch comprises the use of
parallel architectures, concretely GPUs, that provide efficient implementations.
One drawback of this approach, due to the inherent constraints of the GPUs programming
model, is a relatively long development cycle to extend existing variants. At the expense of
sacrificing efficiency for expressivity, other alternatives involving sequential approaches
can be considered. Within this trend, P–Lingua offers the high flexibility of
the Java programming language as well as a general acceptance within the Membrane
computing community. P–Lingua affords a standard language for the definition of P
systems. Part of the same software project, pLinguaCore library provides particular
implementations of parsers and simulators for the models specified in P–Lingua. Support
for simulating SN P systems in P–Lingua was introduced in. In that version all
(synchronous and asynchronous) “working modes” considered in were implemented.
Since then, new asynchronous variants have appeared. In this paper we present a brand new extension of P–Lingua related to asynchronous SN P systems, in order to incorporate
simulation capabilities for limited asynchronous SN P systems, introduced in, and
asynchronous SN P systems with local introduced respectively in | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación TIN2012–37434 | |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Fénix Editora | es |
dc.relation.ispartof | Proceedings of the Twelfth Brainstorming Week on Membrane Computing, 261-280. Sevilla, E.T.S. de Ingeniería Informática, 3-7 de Febrero, 2014, | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Extending SNP Systems Asynchronous Simulation Modes in P-Lingua | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial | es |
dc.relation.projectID | TIN2012–37434 | |
dc.contributor.group | Universidad de Sevilla. TIC193: Computación Natural | |
dc.identifier.idus | https://idus.us.es/xmlui/handle/11441/33565 | |
dc.contributor.funder | Ministerio de Ciencia e Innovación (MICIN). España | |