Commonsense-knowledge based inference engine

Zhengdao Peng*, Jean H Y LAI

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review


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.

Original languageEnglish
Title of host publicationGenetic and Evolutionary Computing - Proceedings of the 11th International Conference on Genetic and Evolutionary Computing
EditorsShu-Chuan Chu, Jerry Chun-Wei Lin, Chien-Ming Chen, Jeng-Shyang Pan
PublisherSpringer Verlag
Number of pages8
ISBN (Print)9789811064869
Publication statusPublished - 2018
Event11th International Conference on Genetic and Evolutionary Computing, 2017 - Kaohsiung, Taiwan, Province of China
Duration: 6 Nov 20178 Nov 2017

Publication series

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


Conference11th International Conference on Genetic and Evolutionary Computing, 2017
Country/TerritoryTaiwan, Province of China

Scopus Subject Areas

  • Control and Systems Engineering
  • Computer Science(all)

User-Defined Keywords

  • Artificial intelligence
  • Commonsense base
  • Inference engine


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