文章分析了M A S建模方法学提出的动因,指出了M A S建模中的关键问题;阐述了基于A gen t的建模方法学分析阶段的过程及其不足,研究了对系统子目标进行表述、求解的规范化工具——G/A矩阵及其求解方法;并在此基础上提出了一种新的M A S...文章分析了M A S建模方法学提出的动因,指出了M A S建模中的关键问题;阐述了基于A gen t的建模方法学分析阶段的过程及其不足,研究了对系统子目标进行表述、求解的规范化工具——G/A矩阵及其求解方法;并在此基础上提出了一种新的M A S中个体A gen t的识别方法,最后通过实例说明该方法简单易行。展开更多
Multi-agent model is well-known to suit design of complex systems. This paradigm allows describing autonomous entities to interact together directly or through their environment. It is specially adapted to design 3D s...Multi-agent model is well-known to suit design of complex systems. This paradigm allows describing autonomous entities to interact together directly or through their environment. It is specially adapted to design 3D simulations taking into account spatial constraints on agents. In this work, we have designed a multi-agent model which adds a feature to the classical representation of agent: a body, encapsulating a physical model of the agent. We have applied this model to lipids and proteins belonging to the inner mitochondrial membrane, a biological membrane. Information provided by atomic structures is available through international databases and has been used to design a shape-based grain model for the agent body. We selected a model with three grains per molecule in which each grain is characterized by a type determining how they interact together and consequently the agent behaviors. Lipids and two kinds of protein structures have been described within this model allowing us to simulate their organization in membranes.展开更多
文摘文章分析了M A S建模方法学提出的动因,指出了M A S建模中的关键问题;阐述了基于A gen t的建模方法学分析阶段的过程及其不足,研究了对系统子目标进行表述、求解的规范化工具——G/A矩阵及其求解方法;并在此基础上提出了一种新的M A S中个体A gen t的识别方法,最后通过实例说明该方法简单易行。
文摘Multi-agent model is well-known to suit design of complex systems. This paradigm allows describing autonomous entities to interact together directly or through their environment. It is specially adapted to design 3D simulations taking into account spatial constraints on agents. In this work, we have designed a multi-agent model which adds a feature to the classical representation of agent: a body, encapsulating a physical model of the agent. We have applied this model to lipids and proteins belonging to the inner mitochondrial membrane, a biological membrane. Information provided by atomic structures is available through international databases and has been used to design a shape-based grain model for the agent body. We selected a model with three grains per molecule in which each grain is characterized by a type determining how they interact together and consequently the agent behaviors. Lipids and two kinds of protein structures have been described within this model allowing us to simulate their organization in membranes.
