Computational Modeling of Organisational Learning by Self-Modeling Networks
Gülay Canbaloğlu (Koç University)
Jan Treur (TU Delft - Safety and Security Science, Vrije Universiteit Amsterdam)
P.H.M.P. Roelofsma (TU Delft - Safety and Security Science)
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Abstract
Within organisational learning literature, mental models are considered a vehicle for both individual learning and organizational learning. By learning individual mental models (and making them explicit), a basis for formation of shared mental models for the level of the organization is created, which after its formation can then be adopted by individuals. This provides mechanisms for organizational learning. These mechanisms have been used as a basis for an adaptive computational network model. The model is illustrated by a not too complex but realistic case study.
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