基于蚁群算法的情感模型研究

Emotional model based on ant colony algorithm

情感是人类智能中的一个重要表现形式,在人类决策过程中起着重要的作用。从情感的特征出发,抽取影响情感产生的载体因子,引入蚁群算法思想,将携带载体因子的蚂蚁,采用串行的方式,通过反应强度值的不断更新,完成寻找最优情感状态的任务,以此来考察人类的情感变化。通过和隐马尔可夫情感模型相比较,可以看出基于蚁群算法思想的情感模型实现过程简单,并反映了情感状态的变化过程。仿真结果表明了该模型与实际相符合,对研究计算机情感表达有较好的作用。

Emotion is a kind of important expression of human intelligence, and plays an important role in human decision-making process. In this paper, from the emotional characteristics, it extracted the carrier factors that influence emotions and introduced ant colony algorithm. Ants who carry the vector factor search the best emotional state to complete the task through the reaction intensity, in order to study the human emotional changes. Compared with the Hidden Markov Model （HMM）, we can see that the emotional model of the ant colony algorithm is simple and reflects the changes in emotional states. The simulation results prove that this method is in line with actuality, and it is effective for the study of computational emotional expression.