摘要：Recent evidence suggests that the emotions play a crucial role in perception, learning and rational decision making. Despite arguments to the contrary, all artificial intelligent systems are, to some extent, autonomous. This research investigates how emotion can be used as the basis for autonomy. We propose the use of an emotion-based control language that maps over all layers of a computational architecture. We report on how theoretical work and both design and computational experiments with this concept are being used to direct perception, behavior selection and reasoning in cognitive agents
