A Value-Driven Architecture for Intelligent Behavior

In this paper, we describe Icarus, an integrated architecture for intelligent agents that diverges from earlier eorts. The framework supports long-term memories for concepts and skills, and it includes mechanisms for recognizing concepts, calculating internal reward, nominating and selecting skills, executing them in a reactive manner, repairing skills' conditions when they fail, and abandoning skills when they promise poor returns. We illustrate these processes with examples from the domain of highway driving, and we relate Icarus' assumptions to principles of architectural design and to previous research in this important area