Learning from each other: An agent based approach

Abstract

This paper presents an agent based approach to knowledge representation and learning methods. Agent architecture is described and discussed, together with its advantages and limitations. Main purpose of the proposed approach is to gain further insight in current teaching methods with a foremost aspiration for their improvement. Two different experimental studies were conducted; the first one addressing knowledge representation and the second one regarding knowledge transfer between agents. Obtained results are presented and analysed. © 2014 Springer International Publishing.