Emotion Generation Model with Growth Functions for Robots
Miho Harata* and Masataka Tokumaru**
*Graduate School, Kansai University, 3-3-35 Yamate-cho, Suita-shi, Osaka 564-8680, Japan
**Kansai University, 3-3-35 Yamate-cho, Suita-shi, Osaka 564-8680, Japan
In this paper, we propose an emotion model with growth functions for robots. Many emotion models for robots have been developed using Neural Networks (NN), which focus on the functions of emotion recognition, control, and expression. One problem that affects these emotion models for robots is the development of a “simplified” emotion generation algorithm. Users readily lose interest in “simple” systems. Most models have attempted to generate complex emotional expressions, whereas no previous studies have considered the “growth of a robot.” Therefore, we propose a growth model for emotions based on changes in the network structure of a self-organizing map. We also applied a multilayer perceptron NN to generate more sophisticated expressions of emotion using growth functions. This model generated a similar behavior to the concept of affective change described in genetic psychology. Our results showed that this emotion model was more suitable for producing a robot with growth functions based on a psychological model.
-  H. Sumitomo, M. Tokumaru, and N. Muranaka, “Study on an Emotion Generation Model for a Robot Using a Chaotic Neural Network,” 9th Int. Conf. on Entertainment Computing – ICEC 2010, pp. 502-504, 2010.
-  N. Kubota, Y. Nojima, N. Baba, F. Kojima, and T. Fukuda, “Evolving pet robot with emotional model,” Proc. of IEEE Congress on Evolutionary Computation, pp. 1231-1237, 2000.
-  T. Ogata and S. Sugano, “Emotional Communication Between Humans and the Autonomous Robot which has the Emotion Model,” in Proc. of IEEE Int. Conf. on Robotics and Automation (ICRA’99), pp. 3177-3182, 1999.
-  H. Miwa, T. Okuchi, K. Itoh, H. Takanobu, and A. Takanishi, “A New Mental Model for Humanoid Robots for Human Friendly Communication,” in Proc. of the 2003 IEEE Int. Conf. on Robotics and Automation, pp. 3588-3593, 2003.
-  K. M. B. Bridges, “Emotional development in early infancy,” Child Development, Vol.3, No.4, pp. 324-34, 1932.
-  T. Kohonen, “The self-organizing map,” Proc. of the IEEE, Vol.78, No.9, pp. 1464-1480, 1990.
-  A. Gesell, F. L. Ilg, and L. B. Ames, “Infant and Child in the Culture of Today: The Guidance of Development in Home and Nursery School,” Hamish Hamilton, 1975.
-  R. Plutchik, “Emotion: A Psychoevolutionary Synthesis,” Harper & Row, 1980.
-  G. A. Miller, “The Magical Number Seven, Plus or Minus Two: Some Limits on our Capacity for Processing Information,” Psychological Review, Vol.63, pp. 81-97, 1956.
-  D. Deng and N. Kasabov, “ESOM: An Algorithm to Evolve Self-Organizing Maps from Online Data Streams,” Proc. of IEEE Int. Conf. Neural Networks 2000, Vol.6, pp. 3-8, 2000.