数据耕耘:一种基于协同的探索性仿真分析方法

Data Farming: A Cooperative-based Exploratory Simulation Analysis Method

战争系统是一个典型的复杂系统,信息化战争的研究需要复杂性理论的指导,需要新型的战争模拟手段。数据耕耘是一种有效的探索分析战争复杂系统的方法。介绍了数据耕耘的产生原因、基本概念、研究方法。描述了数据耕耘的基于多领域专家的协同工作环—想定创建环和参数空间执行环。分析了支撑数据耕耘的基于问题建模、提炼、可视化多维数据分析以及高性能计算等关键技术,讨论了探索性仿真分析方法与数据耕耘的关系。

War system is a typical complex system, and the research of information warfare needs the guide of complexity theory and a new type of war simulation. Data farming is an effective method of exploringly analysing complex war system. The motivation, basic concepts and research methods of data farming were introduced. The multi-domains experts cooperative-based data farming loop was emphasized, includeing the scenario creation loop and the scenario run space execution loop. The supporting key technologies of data farming were analyzed, which consise of the question based modeling, distillation, multi-dimensionality data visualization and high performance computing, etc. The relationship between exploratory simulation analysis and data farming was discussed.