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This paper interprets a particular agent-based social simulation (ABSS) in terms of Conte's third way of understanding agent-based simulation. It is proposed that the normalized compression distance (derived from estimates of Kolmogorov complexity) between the initial and final macrolevel states of the ABSS provides a quantitative measure of the degree to which the results obtained via the ABSS might be obtained via a closedform expression. If the final macrolevel state of an ABSS can only bedoi:10.18564/jasss.1604 fatcat:7ukrsexw2jbgxdylr3mzmso2me