Synthetic Minds

Synthetic Minds examines how artificial intelligence could evolve beyond narrow tools into systems with agency, memory, planning, and self-evaluation. Quentin G. Dalton takes a scientific look at what it means to call an AI a mind, distinguishing pattern recognition from the broader capacities that support autonomous behavior in changing environments. The book traces the shift from single-task models to multi-step agentic systems and explores the architecture that may underlie synthetic intelligence, including perception, representation, reasoning, and action. It also considers the role of long-term context, metacognition, and error correction in making machine behavior more adaptive and consequential. Clear and forward-looking, this book helps readers understand the likely paths, risks, and opportunities of synthetic intelligence and why the rise of digital agents matters for work, identity, responsibility, and society. For anyone trying to make sense of advanced AI without hype, Synthetic Minds offers a rigorous framework for thinking about what may come next.