<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">M. Angels Colomer</style></author><author><style face="normal" font="default" size="100%">Miguel A. Martínez-del-Amor</style></author><author><style face="normal" font="default" size="100%">Ignacio Pérez-Hurtado</style></author><author><style face="normal" font="default" size="100%">Mario J. Pérez-Jiménez</style></author><author><style face="normal" font="default" size="100%">Agustín Riscos-Núñez</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">K. Li</style></author><author><style face="normal" font="default" size="100%">Z. Tang</style></author><author><style face="normal" font="default" size="100%">R. Li</style></author><author><style face="normal" font="default" size="100%">Atulya Nagar</style></author><author><style face="normal" font="default" size="100%">R. Thamburaj</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">A uniform framework for modeling based on P Systems</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE Fifth International Conference on Bio-inpired Computing: Theories and Applications (BIC-TA 2010)</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Proceedings 2010 IEEE Fifth International Conference on Bio-inpired Computing: Theories and Applications (BIC-TA 2010)</style></tertiary-title></titles><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">09/2010</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.cs.us.es/~marper/investigacion/marco-bicta-2010.pdf</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">IEEE Press.</style></publisher><pub-location><style face="normal" font="default" size="100%">Changsha, China</style></pub-location><volume><style face="normal" font="default" size="100%">1</style></volume><pages><style face="normal" font="default" size="100%">616-621</style></pages><isbn><style face="normal" font="default" size="100%">978-1-4244-6439-5</style></isbn><abstract><style face="normal" font="default" size="100%">In this paper, a P systems based general framework
for modeling the dynamics of a population biology is presented.
Multienvironment probabilistic functional P systems with active
membranes provide the syntactical specification, and the semantics
is captured by using stochastic or probabilistic strategies
implemented through simulation algorithms.</style></abstract></record></records></xml>