Simulation for the Social Scientist
Simulation for the Social Scientist
Handbook of Computational Economics, Volume 2: Agent-Based Computational Economics (Handbook of Computational Economics)
Generative Social Science: Studies in Agent-Based Computational Modeling (Princeton Studies in Complexity)
Emergent stock market behaviour from a multitude of simple agents
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part IV
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The paper at hand highlights how multi-agent simulations may help analyse meaningful organisational questions. This article relies on a model addressing Organisational Change based on empirical data put forth by Oreg in 2006. A bottom-up multi-agent model is derived. Simulations show that important details of social interdependence may be missing in the mainstream scientific examination of organisations, which only considers organisations at a systemic and/or macroscopic level. With our multi-agent model, we present a case in which the consideration of the micro-level and the simulation of individual interaction-processes grow meaningful emergent properties at the macro-level of the organisation. A series of simple experiments serves to exemplify the necessity of a more in-depth consideration of emergent macro-social processes.