Abstract
The interconnectedness of actors is an antecedent for collective corruption, which in turn can lead to endemic corruption in a society. As a testbed for studying the effects of social interconnectedness on corrupt behaviours, we examine the domain of maritime customs. We add to our existing agent-based simulation a nuanced model of actor relatedness, consisting of clan, in-group (sect), and place of origin, and encode associated behavioural norms. We examine in simulation the effects of social interconnectedness on domain performance metrics such as container outcomes, delay, revenue, collusion, and coercive demands. Results confirm that, when corruption is widespread, localized punitive- or incentive-based policies are weakened, and that the effect of process re-engineering is frustrated when interconnectedness increases beyond a critical point, for two out of three forms of homophily connections. Our work connects with and provides a complementary methodology to works in the political economy literature.
Original language | English |
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Title of host publication | Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018) |
Publisher | International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) |
Pages | 1622-1630 |
Number of pages | 9 |
ISBN (Print) | 9781510868083 |
Publication status | Published - 1 Jul 2018 |
Event | 17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018 - Stockholm, Sweden Duration: 10 Jul 2018 → 15 Jul 2018 |
Conference
Conference | 17th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2018 |
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Country/Territory | Sweden |
City | Stockholm |
Period | 10/07/18 → 15/07/18 |
Keywords
- Agent-based simulation
- Ethics
- Maritime customs
- Social networks