4 citations · 6 across the 5 of their papers we have counts for
6 papers
A Study on AI-FML Robotic Agent for Student Learning Behavior Ontology Construction
Chang-Shing Lee, Mei-Hui Wang, Wen-Kai Kuan +8
In this paper, we propose an AI-FML robotic agent for student learning behavior ontology construction which can be applied in English speaking and listening domain. The AI-FML robo…
Fuzzy Gesture Expression Model for an Interactive and Safe Robot Partner
Alexis Stoven-Dubois, Janos Botzheim, Naoyuki Kubota
Interaction with a robot partner requires many elements, including not only speech but also embodiment. Thus, gestural and facial expressions are important for communication. Furth…
A GFML-based Robot Agent for Human and Machine Cooperative Learning on Game of Go
Chang-Shing Lee, Mei-Hui Wang, Li-Chuang Chen +6
This paper applies a genetic algorithm and fuzzy markup language to construct a human and smart machine cooperative learning system on game of Go. The genetic fuzzy markup language…
PFML-based Semantic BCI Agent for Game of Go Learning and Prediction
Chang-Shing Lee, Mei-Hui Wang, Li-Wei Ko +8
This paper presents a semantic brain computer interface (BCI) agent with particle swarm optimization (PSO) based on a Fuzzy Markup Language (FML) for Go learning and prediction app…
Human and Smart Machine Co-Learning with Brain Computer Interface
Chang-Shing Lee, Mei-Hui Wang, Li-Wei Ko +5
Machine learning has become a very popular approach for cybernetics systems, and it has always been considered important research in the Computational Intelligence area. Neverthele…
Ontology-based Adaptive e-Textbook Platform for Student and Machine Co-Learning
Noel Nuo Wi Tay, Sheng-Chi Yang, Chang-Shing Lee +1
The use of electronic textbooks (e-book) has been heavily studied over the years due to their flexibility, accessibility, interactivity and extensibility. Yet current shortcomings…