Abstract

Computational models have an increasing impact in social and historical sciences. In this paper, I will focus on a specific type of modelling developed in computational social sciences, an agent-based model. My inquiry will aim to identify the sort of explanatory virtues that such a model could have. I will discuss the suggested possibility of causal explanations but also the recent proposal advanced by Grüne-Yanoff that sees them as potential functional explanations. In the last part I shall make some suggestions on how to advance our inquiry. These will point to the need of a more consistent explanatory context drawing on the way social scientists make use of such models. The other will point to the need of considering a cognitive process that is closely related to the explanatory one - understanding.