An integrated creative reminding algorithm

Automation of creative thinking is very important as well as very difficult. Research shows that creative thinking is a very complicated dynamical system. We first prove that the variation of any feature of this system is able to reflect the dynamic information of the whole system. Based on this, we give a method of how to measure the reminded objects so that the measure sequence can be constructed which is proved to be chaotic. It follows that we present a creative reminding method according to chaos theory. This method is built on the prediction by a Lyapunov exponent calculated on the thinking history, which consists of the exponent calculation, exponent reminding mode, etc. We present a comprehensive reminding algorithm consisting of the usual and fantastic parts. When the relevance of the target to the given base is bigger than the given threshold the target is to be reminded, or else a simulated annealing-based algorithm is applied to make a decision. When the system fails continuously many times to produce reminders, the system will try to employ the exponent prediction to produce the fantastic reminder which often results in inspiration. The proposed method can be used to find the conditions leading to the inspiration so as to provide the means for the system to yield creative thinking. Now the proposed method has been integrated into the prototype system of creative design. The results of the experiment show its advantages in some aspects