| dc.description.abstract | There has been increasing pressure for countries worldwide to have laws that govern anti-money
laundering in face of rising crime posed by international terrorists. In Kenya for instance all
financial institutions are supposed to report all suspicious transactions to Financial Reporting
Centre. This is a central, national agency responsible for receiving, analyzing and disseminating
disclosures of financial information. Money Laundering has been the main source funds for
criminals and terrorist to fund their ill motifs. Over time criminals have develop sophisticated
methods of ‘cleaning’ their illegally acquired funds through financial institution to conceal the
original source of their funds. This project is a multi-agent system solution that seeks to cap
terrorism in Kenya by reporting and stopping suspicious transactions through Anti-Money
Laundering approach. Terrorism need a lot of funds to plan and execute their ill-modifies
actions. Reducing the sources of funding implies reducing or stopping their power to execute
their actions. The project is Multi-Agent System solution developed using C# and Bolari .NET
with simulated financial data as inputs.
Keywords: Terrorism, Money Laundering, Anti-Money Laundering, Agent, Multi-agent system | en_US |
