Behavior selection based on conditioned reflex and emotion

This paper deals with the behavior control strategy of autonomous robots. Since conditioned reflex and emotions make living things intelligent to adapt to different environments, they are combined with each other in the presented strategy to endow the robot with the ability of adapting to various conditions. The associative memory is also used to enhance the learning efficiency. Simulation results prove that the presented strategy is effective.