关键词: 智能体, 情感学习, 交互式进化计算, 测试函数

Abstract: To overcome the weak local search ability and human subjective preference dependence of traditional Interactive Evolutionary Computing(IEC), a kind of affective learning Agent oriented to implement IEC was proposed by extending the typical Belief, Desire, Intention(BDI)structure. This affective computing and learning behavior based on human-computer interaction could study human's decision preference actively, thus the subjective fatigue of human in human-computer interaction was reduced. The agent's structure models and functional modules were conducted, and the realization of IEC algorithm was discussed in detail. Test functions as well as PID parameters of process controllers were employed to verify the effectiveness and feasibility of proposed method in IEC applications

Key words: Agent, affective learning, interactive evolutionary computing, testing function