On the Cognitive Foundations of Autonomous Systems and General AI

It is recognized that autonomous systems are advanced intelligent systems towards general AI that may think and infer. This work investigates into basic research on the cognitive foundations of autonomous systems. Key challenges to real-time intelligence generation are analyzed in classic stored-programmed-controlled computing and data-regressed ion AI, which lead to a general intelligence generation methodology of knowledge-inferred AI. A theoretical framework of autonomous AI systems is elaborated towards autonomous systems for enabling deep machine thinking, knowledge learning, cognitive computing, and mission-critical intelligent systems.