A flexible approach for structuring and merging distributed learning object is presented. At the basis of this approach there is a formal representation of a learning object, call...
One of the very interesting properties of Reinforcement Learning algorithms is that they allow learning without prior knowledge of the environment. However, when the agents use al...
Cognitive modeling with neural networks unrealistically ignores the role of knowledge in learning by starting from random weights. It is likely that effective use of knowledge by ...
Abstract. Learning style is one of the individual differences that play an important but controversial role in the learning process. This paper aims at providing a critical analysi...
This paper constructs a conceptual structure for organizational learning and organizational performance based on the core competitive capability view. Based on the research of org...