A multi-agent model for emotion generation

We propose a method for the conversion of the perceived emotion into an understandable form and also propose a new algorithm for generation of response emotions in order to capture the feelings of human and adjust machines accordingly. We discuss our efforts to model a Multi Agent based Dynamic Emotion Emulator (MADEE) to be used in conjunction with mobile robots. We are currently using a Lego robot running the freely downloadable leJOS to carry out the method. The proposed algorithms make the communication to be more meaningful and interactive and the machines should not just provide mere answers to queries but respond with an understanding of the emotions of the human being interacting.