@inproceedings{4839dce0bf49450cb9bd8e3ccb95dc33,
title = "Commonsense-knowledge based inference engine",
abstract = "Nowadays, more and more industries achieve automatic large-scale production, and also more and more robots undertake the responsibilities of domestic chores. When machines run in industries or robots work in home, they should have abilities to make judgement and abilities to learn from experience, if they want to do their jobs well. In this study, a commonsense knowledge base (CKB) and an inference engine that can support decision making with the commonsense knowledge are built. They can understand human languages, and equip with inferencing abilities, and learning abilities.",
keywords = "Artificial intelligence, Commonsense base, Inference engine",
author = "Zhengdao Peng and LAI, {Jean H Y}",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2018.; 11th International Conference on Genetic and Evolutionary Computing, 2017 ; Conference date: 06-11-2017 Through 08-11-2017",
year = "2018",
doi = "10.1007/978-981-10-6487-6_16",
language = "English",
isbn = "9789811064869",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "128--135",
editor = "Shu-Chuan Chu and Lin, {Jerry Chun-Wei} and Chien-Ming Chen and Jeng-Shyang Pan",
booktitle = "Genetic and Evolutionary Computing - Proceedings of the 11th International Conference on Genetic and Evolutionary Computing",
address = "Germany",
}