Johnson K A, Johnson T R, Smith J W, DeJongh M, Fischer O, Amra N K, Bayazitoglu A
Division of Medical Informatics, Ohio State University, Columbus 43210.
Proc Annu Symp Comput Appl Med Care. 1991:664-8.
The primary goal of our research is to build an intelligent tutoring system for red blood cell antibody identification. In this paper, we describe the basis for a tutoring system--an expert system called RedSoar. RedSoar is built from two task-specific architectures that were designed for building flexible systems (i.e. systems that can use a variety of problem-solving strategies, and to which knowledge can easily-be added). RedSoar solves the antibody identification task correctly 81% of the time and new knowledge can be added in a straightforward manner. The system is capable of exhibiting human-like behavior which we believe is a necessary condition for building a successful tutoring system.
我们研究的主要目标是构建一个用于红细胞抗体识别的智能辅导系统。在本文中,我们描述了一个辅导系统的基础——一个名为RedSoar的专家系统。RedSoar是由两个针对特定任务的架构构建而成,这些架构旨在构建灵活的系统(即能够使用多种问题解决策略且易于添加知识的系统)。RedSoar在81%的情况下能够正确解决抗体识别任务,并且新知识可以直接添加。该系统能够展现出类似人类的行为,我们认为这是构建一个成功的辅导系统的必要条件。