Abstract
This paper proposes an emotion-generation model for complex change using a chaotic neural network (CNN). Using a CNN, the proposed model will solve the problem of past studies that have indicated that robotic emotion changes are simplistic. The model uses the principle of an adaptation level, which is used in Russell’s emotion model to generate emotion. This paper considers the effectiveness of this approach using simulation, and shows that the model can express a change of “adaptation”. In addition, through the chaos of CNN, the proposed model can express different changes, even if the values of CNN’s input values remain the same.
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Hama, H., Suzuki, N., Hama, Y.: Invitation to emotion psychology. In: Approach to feelings and emotion, Saiensu-Sya Ltd.
Gouhara, K.: Chaos of neural system. Tokyo Denki University Publication
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Sumitomo, H., Tokumaru, M., Muranaka, N. (2010). Study on an Emotion Generation Model for a Robot Using a Chaotic Neural Network. In: Yang, H.S., Malaka, R., Hoshino, J., Han, J.H. (eds) Entertainment Computing - ICEC 2010. ICEC 2010. Lecture Notes in Computer Science, vol 6243. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15399-0_73
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DOI: https://doi.org/10.1007/978-3-642-15399-0_73
Publisher Name: Springer, Berlin, Heidelberg
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