The present technique relates to a conversation agent system and method using an utterance emotion history. According to a specific embodiment of the present technique, learning materials are derived by reflecting a cumulative discount reward value to induce a change in emotion for many collected original materials and a conversation model is constructed by learning based on a learning technique set for the derived learning materials. By generating a response sentence and response emotion for each of the utterance sentences and utterance emotion inputted using the constructed conversation model, converting the generated response emotion and response sentence into natural language forms, and combining the converted forms, the accuracy for emotion of a speaker can be improved as the speaker utters and an effective conversation reflecting the emotion can be conducted.
CONVERSATION AGENT SYSTEM AND METHOD USING EMOTIONAL HISTORY