A self-service banking system based on subsumption architecture

Some of the biggest drawbacks of the traditional self-service banking system is that the low security, component independence, and lacking consistency. In order to compensate for these shortfalls, we describe a abnormal behavior identification based Intelligent Self-Service banking system based on Brooks´ subsumption architecture. In this architecture, we implement the subsumption of lower layers by high layers using nonmonotonic reasoning principles. However, unlike systems that followed Brooks´ work, it allows the layers to work in synergy to produce the compound behavior. Study shows that, based on the above structure, the system can effectively identify the abnormal behaviors in transaction environment, and the dynamically adjust security levels to improve system security, consistency, stability.