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静态的、严格的“物理符号系统”假设曾使传统人工智能一度陷人困境,软计算方法处理问题的灵活性和不确定性为人工智能的发展提供了新思路,作为一种创建计算智能的新颖方法,软计算对于人工智能的发展具有重要的意义。
The static and strict “physical symbol system” hypothesis once made the traditional artificial intelligence once in a dilemma. The flexibility and uncertainty of the soft computing method to deal with the problem provided a new idea for the development of artificial intelligence as a way to create computational intelligence Novel methods, soft computing for the development of artificial intelligence is of great significance.