This paper asks whether agent-based simulation can give insight into social factors surrounding corrupt behaviour in a technical process. The specific case study adopted, for studying the effects of social interconnectedness on corrupt behaviours, is the domain of maritime customs. Taking our previously-developed agent-based simulation, we add to the simulation a nuanced model of actor relatedness, consisting of clan, in-group (sect), and town of origin, and encode selected behavioural norms associated with these factors. Using the simulation, we examine the effects of social interconnectedness on domain performance metrics such as container outcomes, time, revenue, coercive demands, and collusion. Initial results confirm that as actor interconnectedness increases, established policies to combat corruption, such as process re-engineering, become less effective.
|Title of host publication||Multi-Agent Based Simulation XVIII - International Workshop, MABS 2017, Revised Selected Papers|
|Editors||Graçaliz Pereira Dimuro, Luis Antunes|
|Number of pages||16|
|Publication status||Published - 1 May 2018|
|Event||18th International Workshop on Multi-Agent Based Simulation, MABS 2017 - Sao Paulo, Brazil|
Duration: 8 May 2017 → 12 May 2017
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Conference||18th International Workshop on Multi-Agent Based Simulation, MABS 2017|
|Period||8/05/17 → 12/05/17|
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