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Searching for effective and efficient way of knowledge transfer within an organization

  • AGH University of Krakow

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

In this paper three models of knowledge transfer in organization are considered. In the first model (A) the transfer of chunks of knowledge among agents is possible only when the sender has exactly one more chunks of knowledge than recipient. This is not dissimilar with bounded confidence model of opinion dynamics. In the second model (B) the knowledge transfer take place when sender is "smarter" than recipient. Finally, in the third scenario (model C) we allow for knowledge transfer also when sender posses the same or greater number of chunks of knowledge as recipient. The simulation bases on cellular automata technique. The organization members occupy nodes of square lattice and they interact only with their nearest neighbors. With computer simulations we show, that the efficiency and the effectiveness of knowledge transfer i) for model C is better than for model B ii) and it is worse for model A than for model B.

Original languageEnglish
Title of host publicationICAART 2018 - Proceedings of the 10th International Conference on Agents and Artificial Intelligence
EditorsAna Paula Rocha, Jaap van den Herik
PublisherSciTePress
Pages151-158
Number of pages8
ISBN (Electronic)9789897582752
DOIs
Publication statusPublished - 2018
Event10th International Conference on Agents and Artificial Intelligence, ICAART 2018 - Funchal, Madeira, Portugal
Duration: 16 Jan 201818 Jan 2018

Publication series

NameICAART 2018 - Proceedings of the 10th International Conference on Agents and Artificial Intelligence
Volume1

Conference

Conference10th International Conference on Agents and Artificial Intelligence, ICAART 2018
Country/TerritoryPortugal
CityFunchal, Madeira
Period16/01/1818/01/18

Keywords

  • Cellular Automata
  • Complex Systems
  • Distributed Leadership
  • Knowledge Transfer
  • Organisations as Complex Systems

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence

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