DYNAMICAL PROBABILISTIC P SYSTEMS
作者： DARIO PESCINI , DANIELA BESOZZI , GIANCARLO MAURI , CLAUDIO ZANDRON
DOI: 10.1142/S0129054106003760
关键词: Stochastic process 、 Probabilistic logic 、 Theoretical computer science 、 Random dynamical system 、 Dynamical systems theory 、 Mathematics 、 P system 、 Dynamical system 、 Complex system 、 Time complexity
摘要: Dynamical probabilistic P systems are discrete, stochastic, and parallel devices, where the probability values associated with rules change during evolution of system. These proposed as a novel approach to analysis simulation behavior complex systems. We introduce all necessary definitions these their dynamical aspects, we describe functioning stochastic algorithm used in computer simulation, evaluate its time complexity. Finally, show some applications for investigation dynamics Lotka-Volterra system metapopulation
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