Preface This is a large, two-part book with an even larger goal: To outline a practical approach to engineering software systems with general intelligence at the human level and ultimately beyond. Machines with flexible problem-solving ability, open-ended learning capability, creativity and eventually, their own kind of genius. Part 1, this volume, reviews various critical conceptual issues related to the nature of intel- ligence and mind. It then sketches the broad outlines of a novel, integrative architecture for Artificial General Intelligence (AGT) called CogPrime ... and describes an approach for giving a young AGI system (CogPrime or otherwise) appropriate experience, so that it can develop its own smarts, creativity and wisdom through its own experience. Along the way a formal theory of general intelligence is sketched, and a broad roadmap leading from here to human-level arti- ficial intelligence. Hints are also given regarding how to eventually, potentially create machines advancing beyond human level — including some frankly futuristic speculations about strongly self-modifying AGI architectures with flexibility far exceeding that of the human brain. Part 2 then digs far deeper into the details of CogPrime’s multiple structures, processes and functions, culminating in a general argument as to why we believe CogPrime will be able to achieve general intelligence at the level of the smartest humans (and potentially greater), and a detailed discussion of how a CogPrime-powered virtual agent or robot would handle some simple practical tasks such as social play with blocks in a preschool context. It first describes the CogPrime software architecture and knowledge representation in detail; then reviews the cognitive cycle via which CogPrime perceives and acts in the world and reflects on itself; and next turns to various forms of learning: procedural, declarative (e.g. inference), simulative and integrative. Methods of enabling natural language functionality i