Abstract
In this paper, we propose an emotion generation system considering complex emotion based on MaC model using neural networks. In the proposed system, the chaotic neural network and the Kohonen Feature Map (KFM) associative memory are used in the Emotion Generator of the MaC model. The proposed system makes use of the probabilistic association ability of the KFM associative memory in order to generate different emotions for same external input. And, the proposed system makes use of the dynamic association ability of the chaotic neural network in order to generate emotions based on its history. Moreover, the proposed model can deal with not only basic emotions but also complex emotions.
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References
Hirozawa, K., Osana, Y.: Emotion generation system based on MaC model with neural networks. In: Proceedings of IEEE International Conference on System, Man and Cybernetics, San Antonio (2009)
Ushida, H., Hirayama, Y., Nakajima, H.: Emotion model for life-like agent and its evaluation. In: Proc. AAAI 2008: Fifth National Conference on Artificail Intelligence, Madison, pp. 62–69 (1998)
Aihara, K., Takabe, T., Toyoda, M.: Chaotic neural networks. Physics Letter A 144(6-7), 333–340 (1990)
Sato, H., Osana, Y.: Variable-sized Kohonen feature map probabilistic associative memory. In: Villa, A.E.P., Duch, W., Érdi, P., Masulli, F., Palm, G. (eds.) ICANN 2012, Part II. LNCS, vol. 7553, pp. 371–378. Springer, Heidelberg (2012)
Kohonen, T.: Self-Organizing Maps. Springer (1994)
Plutchik, R.: A general psychoevolutionary theory of emotion. In: Plutchik, R., Kellerman, H. (eds.) Emotion: Theory, Research, and Experience, pp. 3–33. Academic Press (1980)
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Takamatsu, T., Osana, Y. (2013). Emotion Generation System Considering Complex Emotion Based on MaC Model with Neural Networks. In: Mladenov, V., Koprinkova-Hristova, P., Palm, G., Villa, A.E.P., Appollini, B., Kasabov, N. (eds) Artificial Neural Networks and Machine Learning – ICANN 2013. ICANN 2013. Lecture Notes in Computer Science, vol 8131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40728-4_62
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DOI: https://doi.org/10.1007/978-3-642-40728-4_62
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40727-7
Online ISBN: 978-3-642-40728-4
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