Learning by switching generation and reasoning methods in several knowledge representations towards the simulation of human learning process.
Motohide UmanoYuji MatsumotoYushi UnoKazuhisa SetaPublished in: FUZZ-IEEE (2002)
Keyphrases
- learning process
- empirical studies
- human experts
- active learning
- learning algorithm
- significant improvement
- language acquisition
- reinforcement learning
- computational cost
- machine learning methods
- learning experience
- learning systems
- neural network
- benchmark datasets
- machine learning algorithms
- collaborative learning
- data sets
- learning models
- qualitative and quantitative
- mathematical models
- qualitative reasoning
- learning phase
- learning mechanisms
- learning tasks
- learning styles
- virtual environment
- unsupervised learning
- knowledge acquisition
- online learning
- domain knowledge
- preprocessing