提出建立智能科学及其体系问题，阐述了智能科学学科体系的基本框架，归纳了智能科学研究对象的一般特征，分析了当前智能科学研究的若干重要课题涉及计算智能、集成智能、分布式智能和多艾真体系统、机器学习与知识发现、人工生命、智能控制、智能机器人，以及量子信息处理等，探讨了工业化、信息化、智能化与自动化的关系，并在最后强调指出发展智能科学对创造知识产权、应对入世挑战和增强国家实力具有重大意义。

针对基于遗传算法的移动机器人路径规划，本文提出了一种新的定长十进制路径编码机制。首先，将移动机器人所处环境中的障碍物表示成多边形的形式，并对各障碍物顶点用十进制进行任意编号，然后将移动机器人的路径编码成定长为所有障碍物顶点个数之和的十进制染色体串。串中，非零位上的十进制值表示路径经过了相应编号的顶点，各顶点在串中的顺序就是它们在路径中的顺序。此编码方式克服了已有的变长编码机制及定长二进制编码机制需特殊遗传操作算子和特殊解码的缺陷，使得算法更加简单有效。

提出一种移动机器人运行环境的非光滑建模以及全局路径划方法，能够在离散的传感器信息基础上构造近似的Voronoi边界网络作为环境模型；采用基于最优竞争机制的进化计算与紧缩优化后，实现了移动机器人在复杂环境下的全局路径规划。

frame of the Intelligence Science has been proposed, the general features of the research objects of the Intelligence Science have been summarized, the relationships among the industrialization, informatization, intellectualization and automation have been investigated in this paper. The Intelligence Science consists of three portions: scientific foundation, technical methodology and application fields. The general features of Intelligence Science include complexity, intersection, nonlinearity, anthropomorphic property, uncertainty, incompleteness and distribution etc. The industrialization has been advanced in the direction: Primary Industrialization → Automatic Industrialization → Information Industrialization → Intelligent Industrialization. The proposed new scientific discipline would reflect the new height, new thought and new way for developing the control and automation science from one angle of view, and present a strong wish for establishing the new discipline of Intelligence Science.

This paper introduces a criterion for robustness description in intelligent control system, which is basedon TS fuzzy mechanism and neural network architecture. The result can be used in analysing and modeling of nonlinear robust controllers.