50 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Tokyo Metropolitan UniversityJP8 papers
- National Cheng Kung UniversityTW5 papers
- National Center for Theoretical SciencesTW4 papers
- National Yang Ming Chiao Tung UniversityTW3 papers
- Fo Guang UniversityTW2 papers
- Osaka Prefecture UniversityJP2 papers
- Peking UniversityCN2 papers
- University of Chinese Academy of SciencesCN2 papers
- Yuan Ze UniversityTW2 papers
- Adam Mickiewicz University in PoznańPL1 paper
- Beijing Normal UniversityCN1 paper
- Chinese Academy of SciencesCN1 paper
9 papers · 1 filter
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…
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…
PSO-based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application
Chang-Shing Lee, Mei-Hui Wang, Chi-Shiang Wang +4
This paper proposes an agent with particle swarm optimization (PSO) based on a Fuzzy Markup Language (FML) for students learning performance evaluation and educational applications…
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 Fuzzy Markup Language Agent for Student and Robot Co-Learning
Chang-Shing Lee, Mei-Hui Wang, Tzong-Xiang Huang +6
An intelligent robot agent based on domain ontology, machine learning mechanism, and Fuzzy Markup Language (FML) for students and robot co-learning is presented in this paper. The…
FML-based Dynamic Assessment Agent for Human-Machine Cooperative System on Game of Go
Chang-Shing Lee, Mei-Hui Wang, Sheng-Chi Yang +7
In this paper, we demonstrate the application of Fuzzy Markup Language (FML) to construct an FML-based Dynamic Assessment Agent (FDAA), and we present an FML-based Human-Machine Co…
FML-based Prediction Agent and Its Application to Game of Go
Chang-Shing Lee, Mei-Hui Wang, Chia-Hsiu Kao +5
In this paper, we present a robotic prediction agent including a darkforest Go engine, a fuzzy markup language (FML) assessment engine, an FML-based decision support engine, and a…
Human vs. Computer Go: Review and Prospect
Chang-Shing Lee, Mei-Hui Wang, Shi-Jim Yen +6
The Google DeepMind challenge match in March 2016 was a historic achievement for computer Go development. This article discusses the development of computational intelligence (CI)…