A emotion development agent model based on OCC model and operant conditioning

Emotions have been shown to have a significant influence on the decision-making process of human beings and, thus, play an important role in intelligent behavior. But it is the problem how intelligent systems obtain the abilities of emotions such as recognizing, expressing and reasoning emotions. Our viewpoint is that emotions should be developed in the activities of interaction, which occur between intelligent system and environment. The environment can be users or other agents. To cater to this point, we propose an agent model of emotion development. The agent model is based on the OCC model and operant conditioning theory. We define a set of functions based on OCC model to search the emotional state-space graph. At the same time, we give the algorithm of operant conditions procedure. With user interface and manager interface, the agent will get the input of stimulus, which may be the feedback of its actions. Then through the process of operant conditioning functions, and generalize the emotional knowledge. After replays the procedure again and again, it will try to obtain the abilities of emotions