Abstract

Abstract

A MONTE CARLO SIMULATION APPROACH TO MODELLING THE EFFECT OF RESIDUAL CORRUPTION OF INCORRUPT PERSONS ON THE TIME TO EXTINCTION OF CORRUPT INTERACTIONS IN A SYSTEM

Peter, O.1, Agada, P. O.2 and Aboiyar, T.3


Abstract Various agencies established by the government of Nigeria over the years in combating corrupt practices has not been completely successful. In this work, an Anti-Corruption Simulation Model (ACSIM) using the Sterile Insect Technique (SIT) approach is developed to mitigate corrupt practices. This was done with the intent of investigating the effect of the residual corruption of the incorrupt person on the time to extinction of the corrupt interactions in a system. The model successfully determined the number of incorrupt persons that will completely prevent the flow of corrupt interactions arising from the corrupt persons in the system. The time to extinction of corrupt interaction in a system with 0.1 proportion of incorrupt interaction, 0.0 and 0.1 residual corruption rates account for 492 and 547 time units to extinction of corrupt interactions respectively. Showing that 0.1 residual corruption rate accounts for additional 55 units of time to extinction. In general, the result showed that, the competing ability notwithstanding, residual corruption rate as low as 0.1 elongate the extinction time of corrupt interactions. Hence the residual corruption of incorrupt persons in a system is directly proportional to the time to extinction of corrupt interactions. Keyword: Residual Corruption, Corrupt interaction, incorrupt interaction, total number of interactions, time to extinctions of corrupt interactions.

PDF