Theorizing Corruption through Agent-Based Modeling

Abstract

The aim of this paper is to gain the broad explanation of corruption using simple computational model. We elaborated further the model of corruption described previously in [4], with some additions in model's properties. We performed hundreds of experiments computationally using Swarm and constructed the explanation of corruption based upon these results. We show that corruption should be understood as complex social-phenomena, which relates not only with economical aspect, but also with many other social and anthropological aspects.

Corruptible social agents

“…Situngkir and Khanafiah propose a computational model of corruption that focuses on the interaction between two types of agents. Whereas agents of type A follow rules, agents of type B try to persuade agents of type A to break rules.…”

“…The simulation results presented by Situngkir and Khanafiah show that the higher the probability of being caught, the fewer the acts of corruption. Whereas the simulation results presented in are largely influenced by two fixed (and arbitrarily determined) probabilities parameters, the present work takes into account well‐known anti‐corruption factors whose impact on the corruption threshold of agents can be dynamically adjusted according to corruption‐related events.…”

“…Unlike the agent‐based models of corruption presented in , this present work provides a BDI framework and a fuzzy logic system that enable designers of corruption scenarios to define (i) corrupt‐prone plans; (ii) different types of events; (iii) different corruption‐related beliefs; and (iv) different fuzzy matrices for belief update. In addition, whereas there are several efforts to model and analyze corruption , this present work is directed toward developing autonomous, corruptible social agent behaviors that can be dynamically influenced by corrupters and external events.…”

Securing Protected Areas

“…Studies on corruption have used agent-based models or similar bottom-up approaches to explore the mechanisms, drivers (Farjam et al 2015;Ye et al 2011;Zausinová et al 2019) and emergence of corruption (Kim, Zhong, and Chun 2013;Situngkir and Khanafiah 2006;Voinea 2013). Hammond (2000) modelled corruption as a game-theoretic interaction between two agent populations and showed the effects of general deterrence on corruption levels in an artificial society.…”