Abstract
Emotion is a very popular but not well-known phenomenon of animals. Human emotion/feeling is more complex including the emotion features and the intelligent features. Though there are many researches on emotion/feeling, its computational role on self-maintenance is not known well. But it must be important because most of animals look to have similar emotion and there must be a reason for its similarity. Therefore, in this paper, we discuss on a possible component of emotion system, compare their computational model, and propose a possible hypothesis that the emotion is a system of value calculation for a decision making. For a discussion, we show a possible computational model of feeling system in brain.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Ekman, P., et al.: What the Face Reveals: Basic and Applied Studies of Spontaneous Expression using the Facial Action Coding System (FACS), Series in Affective Science (1997)
Russell, J.A.: A circumplex model of affect. J. Pers. Soc. Psychol. 39, 1161–1178 (1980)
LeDoux, J.: The Emotional Brain: The Mysterious Underpinnings of Emotional Life. Simon & Schuster, New York (1998)
Derksa, D., et al.: The role of emotion in computer mediated communication: a review. Comput. Hum. Behav. 24(3), 766–785 (2008)
Ilyasova, A.: Emotional competencies: connecting to the emotive side of engineering and communication. In: IPCC, pp. 1–5 (2015)
Abe, K., Iwasaki, A., et al.: Robots that play with a child: application of an action decision model based on mental state estimation. J. Jpn. Robot. Soc. 31(3), 263–274 (2013)
Toda, M.: Emotion. Tokyo University Press, Tokyo (1992)
Koelsch, S., et al.: The quartet theory of human emotions: an integrative and neuro-functional model. Phys. Life Rev. 13, 1–27 (2015)
Otake, F., et al.: Economics in Brain, Discover Twenty One (2012). (in Japanese)
Gerken, G.M.: Central tinnitus and lateral inhibition: an auditory brainstem model. Hear. Res. 9(1–2), 75–83 (1996)
Kawamura, M.: Organization and function of amygdala. Jpn. J. Clin. Psychiatry 36(7), 817–828 (2007)
Sato, N.: From hippocampus to neocortex: computational models of the hippocampal memory. In: The 29th Annual Conference of the Japanese Society for Artificial Intelligence, 3F4-OS-19b-5 (2015). (in Japanese)
Schultz, W., et al.: Reward processing in primate orbitofrontal cortex and basal ganglia. Cereb. Cortex 10(3), 272–283 (2000)
Sutton, R.S., et al.: Reinforcement learning. Cereb. Cortex 10, 272–283 (2000)
Ichisugi, Y.: https://staff.aist.go.jp/y-ichisugi/besom/20060824.pdf (2006)
Suzuki, H.: Diversity and evaluation in creative problem solving – finding from insight problem-solving. Trans. Jpn. Soc. Artif. Intell. 19, 145–153 (2004). (in Japanese)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing AG
About this paper
Cite this paper
Omori, T., Miyata, M. (2016). Modeling of Emotion as a Value Calculation System. In: Hirose, A., Ozawa, S., Doya, K., Ikeda, K., Lee, M., Liu, D. (eds) Neural Information Processing. ICONIP 2016. Lecture Notes in Computer Science(), vol 9947. Springer, Cham. https://doi.org/10.1007/978-3-319-46687-3_34
Download citation
DOI: https://doi.org/10.1007/978-3-319-46687-3_34
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-46686-6
Online ISBN: 978-3-319-46687-3
eBook Packages: Computer ScienceComputer Science (R0)