Abstract
This article studies the effect of different implementation approaches on agent-based computer models. This is accomplished via four reimplementations of a simple model of self-organization. How implementation choices “guide our hands” and lead possibly to implicit assumptions about the modeled system is also demonstrated. Furthermore, the question of what makes a model agent based is studied. An argument is made that agent-based implementation is rather a matter of degree than a binary choice.

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