A Framework of Idea Generation Based on Case-Based Learning
Jian Feng Wu · Fudan xuebao. Ziran Kexue ban · 2000
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.