概率逻辑
动力系统(定义)
理论计算机科学
集合种群
复杂系统
计算机科学
动力系统理论
算法的概率分析
统计物理学
人工智能
物理
生物扩散
人口
人口学
量子力学
社会学
作者
Dario Pescini,Daniela Besozzi,Giancarlo Mauri,Claudio Zandron
标识
DOI:10.1142/s0129054106003760
摘要
Dynamical probabilistic P systems are discrete, stochastic, and parallel devices, where the probability values associated with the rules change during the evolution of the system. These systems are proposed as a novel approach to the analysis and simulation of the behavior of complex systems. We introduce all necessary definitions of these systems and of their dynamical aspects, we describe the functioning of the parallel and stochastic algorithm used in computer simulation, and evaluate its time complexity. Finally, we show some applications of dynamical probabilistic P systems for the investigation of the dynamics of the Lotka-Volterra system and of metapopulation systems.
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