Xin Yuan, also known as Vernon, is fascinated by the effects of AI on our contemporary quotidian lives. As a result, he is now heartily involved in many developments of intelligent robotic system to investigate more efficient approaches to AI functions, and focuses on methods of constructing Artificial Intelligence and Agent-based system. He believes that, by improving approaching methods and processing efficiency, AI developments could achieve more advanced impacts to our live.

Currently, Xin Yuan is researching in the University of Adelaide for a new form of cognitive architecture, which is using a parallel processing production rule-based methodology called Street. With this advanced computational method, he is seeking to achieve knowledge about duplicating low-level bio-inspired AI features. A case study is the simulation to the honey bee’s landmark based homing behaviour. In the natural environment, the honeybee could recognise significant objects from the background and use them as reference for memorizing routine on foraging. Xin’s current project is duplicating these features into modules of an agent based autonomous system to be able to record the sequence of characteristic objects appears and track back to the initial position by allocating each recorded places.