Exploration of Computer Emotion Decision Based on Artificial Intelligence
Yiliang Shi, Cong Li · 2018
To carry out the discussion of computer emotion decision based on artificial intelligence, first of all, based on the psychological experiment paradigm of children's game task, and the test process of the artificial emotion generating engine was completed on the emotional spontaneous transfer and the stimulus transfer model. Secondly, the reasoning method and analytic hierarchy process (AHP) were introduced into the multi system, and a kind of multi emotion decision model based on the emotion reasoning was constructed. The hierarchical structure method was used to solve the complex decision problem of the humanoid robot in the intelligent home environment. Then, based on the emotion energy theory, a mood state regulation algorithm based on the combination of HMM-based spontaneous transfer and stimulus transfer was established. In addition, on this basis, the design and implementation of humanoid robot associative memory model was realized. Finally, the theory and algorithm were integrated into the interactive platform of human-computer expression, and the validity of the model was analysed and verified. The results showed that, on this robot platform, the process of human-computer interaction and cooperation which integrated emotion evaluation, emotional decision, associative memory and emotion regulation was realized. As a result, the computer emotion decision based on artificial intelligence can be well applied in many fields.