数据耕耘方法

数据耕耘是从美海军"艾伯特计划"中总结出的一种系统分析方法,它通过播种、施肥、耕作、栽培和收获等过程的循环,为探索问题提供了永无止境的机会.数据耕耘将蒸馏法作用于需求空间、能力空间、想定空间和结果空间,通过运行简单的模型,快速探索出较大的决策空间.该方法模型具有层次化变精度、动态有环反馈、数据可视化、基于 Agent运作综合等特性,目前主要应用于军事决策领域.

Summary Review about Data Farming

Data Farming is a system analysis methodology summarized from project albert.Data Farming provides a neverending opportunity to explore our questions in the feed,fertilize,cultivate,plant,and harvest loop.Data Farming applies distillation to requirement space,ability space,scenario space and result space,then utilizes simple models running on supercomputers to explore large decision spaces rapidly.This method is mainly applied on the decision making and its models have the characteristics of different preci...