基于案例学习的观点生成框架

A Framework of Idea Generation Based on Case-Based Learning

群体观点生成是观点评价和群体一致性意见达成的基础 .在此基础上提出了基于案例学习的观点生成框架 ,将人工智能技术集成入群体决策支持系统中 ,通过动态问题分解过程、多案例经验学习过程、主动的目标驱动学习过程的协调运作 ,既支持初始观点生成 ,又支持观点的修改与扩充 .采用描述性智能辅助技术 ,使得观点生成的智能辅助方法不仅易实现 。

Idea generation is the basis of idea evaluation and group consensus seeking. This paper describes a framework of idea generation based on case based learning mechanisms, which integrates AI into GDSS. This framework supports both initial idea generation and idea modification or expansion by means of cooperation of dynamic problem decomposition, multipe cases learning and active goaldriven learning. The descriptive intelligent assistant technique is used in this paper to make the framework feasible, flexible and adaptable highly.