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Found 10 papers, 1 papers with code
Robotic Assistant Agent for Student and Machine Co-Learning on AI-FML Practice with AIoT Application
Besides, the Robotic Assistant Agent (RAA) can assist students and machines in co-learning English and AI-FML practice based on the robot Kebbi Air and AIoT-FML learning tool.
A Study on AI-FML Robotic Agent for Student Learning Behavior Ontology Construction
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.
A GFML-based Robot Agent for Human and Machine Cooperative Learning on Game of Go
This paper applies a genetic algorithm and fuzzy markup language to construct a human and smart machine cooperative learning system on game of Go.
PFML-based Semantic BCI Agent for Game of Go Learning and Prediction
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 applications.
PSO-based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application
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, and the proposed agent is according to the response data from a conventional test and an item response theory.
Human and Smart Machine Co-Learning with Brain Computer Interface
Machine learning has become a very popular approach for cybernetics systems, and it has always been considered important research in the Computational Intelligence area.
Ontology-based Fuzzy Markup Language Agent for Student and Robot Co-Learning
Meanwhile, the robot acts as a teacher's assistant to co-learn with children in the class.
FML-based Dynamic Assessment Agent for Human-Machine Cooperative System on Game of Go
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 Cooperative System (FHMCS) for the game of Go.
FML-based Prediction Agent and Its Application to Game of Go
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 robot engine for game of Go application.
Human vs. Computer Go: Review and Prospect
The Google DeepMind challenge match in March 2016 was a historic achievement for computer Go development.
