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Xin Yuan (Vernon) – A Cognitive Approach for Reproducing the Homing Behaviour of Honey Bees
August 3, 2017 @ 4:35 pm - 5:00 pm
We describe the implementation if an agent-based controller for an autonomous robot with cognitive abilities that reproduce homing capability in the foraging behaviour of the honeybee. The agent is based on a symbolic representation of data and information and is written in a language designed to describe fine-grained large scale parallelism, the Street language. The objective of this approach is to enable the direct translation of agents written in Street into embedded hardware, to achieve compact, power efficient, autonomous cognitive processing capability.
Xin Yuan, also known as Vernon, is fascinated by the effects of AI on our contemporary daily lives. As a result, he is now enthusiastically involved in many developments of intelligent robotic systems to investigate more efficient approaches to AI functions, and is focusing on methods of constructing Artificial Intelligence and Agent-based systems. He believes that, by improving developing methods and processing efficiency, AI developments could have more advanced impacts on our lives. Currently, Xin Yuan is undertaking research at the University of Adelaide on 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 develop techniques to duplicate low-level bio-inspired AI features.