Written for AI, solution, and enterprise architects, engineers, technologists, cognitive scientists, researchers, technical leaders, entrepreneurs, students, and curious readers, this book investigates a transition that may define the next phase of AI.

This book continues the intellectual journey I began in Cognitive Computing Reimagined, while moving deliberately from conceptual foundations toward practical architecture and engineering. The earlier book examined cognition through neurobiology, cognitive psychology, cognitive computing, and emerging artificial cognition.

This new volume asks the next logical question: how can we engineer these cognitive principles into coherent AI systems? It translates concepts such as perception, attention, memory, reasoning, prediction, learning, agency, and metacognition into architectural capabilities, engineering requirements, interfaces, information flows, feedback loops, controls, and measurable system behaviors.

I examine how these capabilities can be understood architecturally and engineered computationally. Drawing on my research and professional work on cognitive science, neurobiology, artificial intelligence, systems thinking, and enterprise architecture, I developed an interdisciplinary framework to move beyond model-centric AI toward coherent, adaptive, goal-directed cognitive systems.

With an approach of why ¿ what ¿ architecture ¿ engineering ¿ integration and future systems, at its center is a twelve-function cognitive systems model. The functions form 3 interconnected cognitive cycles: Understand, Act, and Adapt. I examine each function via 4 complementary layers: Neural and Biological Foundations, Cognitive Architectures, Cognitive Systems Engineering, and Agentic and Artificial Cognition.