Learning bayesian network to predict group emotion in kindergarten by evolutionary computation

Seul Gi Choi, Sung Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the educational services, students’ emotions are an important factor that determine its effect. We have previously conducted research that led them to target emotions using environmental factors. However, the study used the bayesian network based on domain knowledge to predict emotions, which may differ from the actual environment. In this paper, we propose a method to learn the bayesian network for group emotion prediction in kindergarten from data through evolutionary computation. The learning data are brightness, color temperature, sound, volume, smell, temperature, humidity, and current emotion. The structure of the network is encoded with two chromosomes to represent nodes and arcs. To explore the optimal structure, evolutionary operators are used that can convey information in sets. We also experiment with various inference nodes not observed. Experimental results show that the accuracy is 85% with 20 inference nodes, which can replace network designed with domain knowledge. By comparing the evolution of the best model, we analyze the influential factors that determine the structure.

Original languageEnglish
Title of host publicationInternational Joint Conference SOCO’17- CISIS’17-ICEUTE’17, Proceedings
EditorsHilde Perez Garcia, Javier Alfonso-Cendon, Lidia Sanchez Gonzalez, Emilio Corchado, Hector Quintian
PublisherSpringer Verlag
Pages3-12
Number of pages10
ISBN (Print)9783319671796
DOIs
Publication statusPublished - 2018 Jan 1
EventInternational Joint Conference on 12th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2017, 10th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2017 and 8th International Conference on European Transnational Education, ICEUTE 2017 - Leon, Spain
Duration: 2017 Sep 62017 Sep 8

Publication series

NameAdvances in Intelligent Systems and Computing
Volume649
ISSN (Print)2194-5357

Other

OtherInternational Joint Conference on 12th International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO 2017, 10th International Conference on Computational Intelligence in Security for Information Systems, CISIS 2017 and 8th International Conference on European Transnational Education, ICEUTE 2017
CountrySpain
CityLeon
Period17/9/617/9/8

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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  • Cite this

    Choi, S. G., & Cho, S. B. (2018). Learning bayesian network to predict group emotion in kindergarten by evolutionary computation. In H. Perez Garcia, J. Alfonso-Cendon, L. Sanchez Gonzalez, E. Corchado, & H. Quintian (Eds.), International Joint Conference SOCO’17- CISIS’17-ICEUTE’17, Proceedings (pp. 3-12). (Advances in Intelligent Systems and Computing; Vol. 649). Springer Verlag. https://doi.org/10.1007/978-3-319-67180-2_1