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开采地下矿体需要最适合于矿体赋存条件的采矿方法。详细的评价特定采矿方法，常常需要复杂的大量的数据。人们选择确定最合适的采矿方法，必须具有相当广泛的专业知识。本文描述了一个范例式基于知识的系统——矿山专家（Minexpert）的构造过程，该系统能模仿在采矿方法选择中可能由专业人员所进行的判断。本文讨论了该系统当前版本中影响采矿方法分类和选择的因素。
Mining underground orebodies requires mining methods that are best suited to the orebodies. A detailed evaluation of a particular mining method often requires complex, large amounts of data. People choose to determine the most suitable mining method must have a very wide range of expertise. This article describes the construction of an example knowledge-based system, Minexpert, that mimics the judgments that may be made by professionals in the choice of mining method. This article discusses the factors that affect the classification and selection of mining methods in the current version of the system.