基于知识的问题求解需要一个丰富而相对完备的概念系统，尤其是当任务具有领域非限定特征时。
A rich and complete concept system is required for Knowledge-based problem Solving, especially when the problem is domain unrestrictive.
只要记住这个方面的问题，这个相位就会极为有利于具体针对实现一项工作或任务的任何关系，比如专业领域的关系。
Keeping this problem in mind, this can be an excellent placement for any relationship that is specifically aimed at accomplishing a job or task, such as a professional association.
实验结果的分析及对任务型教学法在课堂上应用的一些具体问题的讨论说明这一领域还有很多值得研究和改进的地方。
The analysis of the experiment results, discussion on some detailed questions of applying in the reading class and the limitations state many spaces that can be studied and improved in the future.
但是当涉及到这些系统狭窄的专业领域之外的问题时，它们却不能完成任务了。
But these systems tend to fail when asked to do things outside of their narrow area of expertise.
任务分配问题是一类典型的组合优化问题，也是计算机研究领域一个经典问题。
Task allocation problem is a typical combinatorial optimization problem, also it is a classic problem in computer research area.
多机器人协作可以明显提高机器人系统完成任务的效率，是移动机器人研究领域的一个重要问题。
With the development of the multi-robot coordination, the working efficiency of the multi-robot system is improved, and the tasks can be finished better.
围绕KDD的一个重要发现任务——关联规则发现，介绍了这一领域基本概念、处理技术以及面临的问题。
This paper discusses the essential concepts, the procedure of Mining Association Rules, an active field in KDD (Knowledge Discovery in Database), as well as the open problems faced in this field.
围绕KDD的一个重要发现任务——关联规则发现，介绍了这一领域基本概念、处理技术以及面临的问题。
This paper discusses the essential concepts, the procedure of Mining Association Rules, an active field in KDD (Knowledge Discovery in Database), as well as the open problems faced in this field.
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