Towards an agent-based model of adaptive organisations

Abstract

This work describes an agent-based model of an organisation. The model is made of workers, which are assigned tasks that have to be solved by analyzing some information items. Information quality has been modelled by associating to each item a probability of being wrong. Workers can interact with each other to recommend information items. During the simulations, we have induced deep reorganisation by changing the quality of the information items, inducing strong structural change. We have experimented with different information seeking behaviour for the workers and analyzed organisation performance, group formation and structural change in the periods of strong change.