Machine Education: Designing semantically ordered and ontologically guided modular neural networks

Hussein Abbass, Sondoss El-Sawah, Eleni Petraki, Robert Hunjet

Research output: A Conference proceeding or a Chapter in BookConference contribution

1 Citation (Scopus)

Abstract

The literature on machine teaching, machine education, and curriculum design for machines is in its infancy with sparse papers on the topic primarily focusing on data and model engineering factors to improve machine learning. In this paper, we first discuss selected attempts to date on machine teaching and education. We then bring theories and methodologies together from human education to structure and mathematically define the core problems in lesson design for machine education and the modelling approaches required to support the steps for machine education. Last, but not least, we offer an ontology-based methodology to guide the development of lesson plans to produce transparent and explainable modular learning machines, including neural networks.
Original languageEnglish
Title of host publicationMachine Education: Designing semantically ordered and ontologically guided modular neural networks
EditorsZengguang Hou, Amir Hussain, Chunhua Yang, Zhigang Zeng, Yi Zhang
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages948-955
Number of pages8
ISBN (Electronic)9781728124858
ISBN (Print)9781728124865
DOIs
Publication statusPublished - 7 Feb 2020
EventSSCI 2019 IEEE Symposium Series on Computational Intelligence - Xiamen, Xiamen, China
Duration: 6 Dec 20199 Dec 2019
http://ssci2019.org/

Conference

ConferenceSSCI 2019 IEEE Symposium Series on Computational Intelligence
Abbreviated titleSSCI 2019
CountryChina
CityXiamen
Period6/12/199/12/19
Internet address

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  • Cite this

    Abbass, H., El-Sawah, S., Petraki, E., & Hunjet, R. (2020). Machine Education: Designing semantically ordered and ontologically guided modular neural networks. In Z. Hou, A. Hussain, C. Yang, Z. Zeng, & Y. Zhang (Eds.), Machine Education: Designing semantically ordered and ontologically guided modular neural networks (pp. 948-955). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SSCI44817.2019.9003083