Abstract
Granular computing theory is an important tool for processing vague, incomplete, inaccurate information. Based on the granular computing theory, a new artificial emotion granular structure model is proposed in this paper. The model presents a new artificial emotion granular concept and defines some key factors. Finally, an experiment is given to calculate and verify the emotion granular structure model.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Nahl, D.: Affective computing. Information Processing & Management 34(4), 510–512 (1998)
Jin, H., Gao, W.: The human facial combined expression recognition system. Chinese Journal of Computers 23(6), 202–208 (2000)
Song, Y., Jia, P.: A control architecture based on artificial emotion for anthropomorphic. Robot 26(6), 491–495 (2004)
Wang, Y., Yuan, B.: Pen-based gesture recognition in multi-modal human-computer interaction. Journal of Northern Jiaotong University (2), 10–13 (2001)
Picard, R.W.: Affective computing. MIT Press, London (1997)
Sloman, A., Croucher, M.: Why robots will have emotions. In: Proceedings IJCAI, Vancouver (1981)
Ward, R.D., Marsden, P.H.: Affective computing: prob1ems, reactions and intentions. Interacting with Computers 16(4), 707–713 (2004)
Zadeh, L.A.: Fuzzy sets and information granulation. Advances in fuzzy set theory and applications. North-Holland Publishing, Amsterdam (1979)
Hobbs, J.R.: Granularity, Proc. of the Ninth International Joint Conference on Artificial Intelligence, Los Angeles (1985)
Frijda, N.: Recognition of Emotion. Advances in Experimental Social Psychology, 167–223 (1969)
Pawlak, Z.: Rough sets. International Journal of Computer and Information Sciences 11, 341–356 (1982)
Liu, Q.: Rough Sets and Rough Reasoning, 3rd edn. Science Press, Beijing (2005)
Picard, R.W.: Affective computing. MIT Press, London (1997)
Chen, B., Sun, M., Zhou, M.: Granular Rough Theory: A representation semantics oriented theory of roughness. Applied Soft Computing 9(2), 786–805 (2009)
Han, J.C., Lin, T.Y.: Granular computing: Models and applications. International Journal of Intelligent Systems 25(2), 111–117 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hu, J., Guan, C. (2011). Granular Structure Model Based on Artificial Emotion. In: Wan, X. (eds) Electrical Power Systems and Computers. Lecture Notes in Electrical Engineering, vol 99. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21747-0_47
Download citation
DOI: https://doi.org/10.1007/978-3-642-21747-0_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21746-3
Online ISBN: 978-3-642-21747-0
eBook Packages: EngineeringEngineering (R0)