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1 引言专家系统是人工智能中最活跃的一个分支,已在众多领域取得了巨大的社会效益和经济效益。但是,传统专家系统方法还存在着许多局限性,尤其是随着计算机网络和计算机应用的发展,专家系统又面临着两个严重问题。一是如何改变过去的单机模式,更好地适应网络环境;二是如何打破以往的封闭模式,更好地实现大型复杂问题的分布式处理。
1 Introduction Expert system is one of the most active artificial intelligence in the field, has made tremendous social and economic benefits in many fields. However, there are still many limitations of the traditional expert system approach. Especially with the development of computer networks and computer applications, the expert system faces two serious problems. First, how to change the past stand-alone mode to better adapt to the network environment; Second, how to break the previous closed mode, to better achieve the distributed processing of large and complex issues.