To model complex knowledge, for solving knowledge intensive problems, one needs formalisms and systems that can represent this knowledge in a natural, compact and modular way. Business Rule Systems (BRS) are a widespread way of modelling knowledge intensive problems, with many applications in, among others, planning, supply chain management and expert systems. These systems model knowledge in the form of "if-then" rules "if body then head". This formalism is used in academic as well as industrial context, mostly because of its readability and the ease with which one can modify the behaviour of rules. Rich interface tools are available, like for example IBM's JRules and Drools. A second advantage of this formalism is the ease to reason with the rules in an automated way for which efficient algorithms exist.
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机译：为了对复杂知识建模，为了解决知识密集型问题，需要形式主义和系统来以自然，紧凑和模块化的方式表示这些知识。业务规则系统（BRS）是对知识密集型问题进行建模的一种广泛方法，在计划，供应链管理和专家系统等方面有许多应用。这些系统以“ if-then”规则“ if body then head”的形式对知识进行建模。这种形式主义在学术和工业环境中都可以使用，主要是因为它的可读性和修改规则行为的便捷性。可以使用丰富的界面工具，例如IBM的JRules和Drools。这种形式主义的第二个优点是易于以自动化的方式对规则进行推理，从而可以找到有效的算法。
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