A uniform framework for modeling based on P systems
作者： M. Angels Colomer , M.A. Martinez-del-Amor , Ignacio Perez-Hurtado , Mario J. Perez-Jimenez , A. Riscos-Nunez
DOI: 10.1109/BICTA.2010.5645196
关键词: Theoretical computer science 、 Semantics (computer science) 、 Computer science 、 Stochastic process 、 Probabilistic logic
摘要: In this paper, a P systems based general framework for modeling the dynamics of population biology is presented. Multienvironment probabilistic functional with active membranes provide syntactical specification, and semantics captured by using stochastic or strategies implemented through simulation algorithms.
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