Authors:
Agnieszka Kowalska-Styczeń
1
;
Krzysztof Malarz
2
and
Kamil Paradowski
2
Affiliations:
1
Silesian University of Technology, Poland
;
2
AGH University of Science and Technology, Poland
Keyword(s):
Knowledge Transfer, Distributed Leadership, Complex Systems, Organisations as Complex Systems, Cellular Automata.
Related
Ontology
Subjects/Areas/Topics:
Agent Models and Architectures
;
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Bioinformatics
;
Biomedical Engineering
;
Distributed and Mobile Software Systems
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Methodologies and Technologies
;
Multi-Agent Systems
;
Operational Research
;
Self Organizing Systems
;
Simulation
;
Software Engineering
;
Symbolic Systems
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.