Long-Term Memory Systems: How Artificial General Intelligence Learns, Remembers, and Applies Knowledge

What would it take to build artificial intelligence that can reason, learn, remember, plan, perceive, and act with greater independence?

The Architecture of AGI explores the major capabilities researchers study when considering the development of Artificial General Intelligence (AGI). Written in clear and accessible language, this educational book helps students, educators, families, and curious readers understand how different AI capabilities may work together as part of increasingly advanced intelligent systems.

Readers explore reasoning and problem-solving, memory systems, learning and adaptation, planning and decision-making, perception, knowledge transfer, metacognition, and autonomy. The book explains how these capabilities relate to today's artificial intelligence while distinguishing current AI systems from the broader and still-developing concept of AGI.

Educational activities, reflections, worksheets, and quizzes encourage readers to think critically about how intelligent systems work, what their limitations are, and how advanced AI technologies may continue to develop.

Part of the IntelliGloss AI Education Series, The Architecture of AGI is designed to strengthen AI literacy and provide readers with a structured foundation for understanding advanced artificial intelligence.

The book approaches AGI as an area of ongoing research and development and does not assume that human-level artificial general intelligence has already been achieved.