Learning from Each Other: An Agent Based Approach

  • Goran Zaharija
  • Saša Mladenović
  • Andrina Granić
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8514)


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.


learning artificial intelligence machine learning agent based systems 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Goran Zaharija
    • 1
  • Saša Mladenović
    • 1
  • Andrina Granić
    • 1
  1. 1.Faculty of ScienceUniversity of SplitSplitCroatia

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