Engineering Smarter Systems

Artificial intelligence and machine learning are reaching more fields every year, but most work so far has produced standalone software that analyzes data or control systems that guide robots and other machines. Barclay R. Brown argues for a different path. Applying model-based systems engineering to AI lets engineers build complex systems around AI-based components, producing larger intelligent systems in which people and AI work together.

Brown draws on more than 25 years of experience in software and systems engineering. Rather than concentrating mainly on refining algorithms and devices, he proposes treating the systems that shape daily life, society, and commerce as candidates for becoming intelligent. The book explores how to combine systems engineering and systems thinking with the latest technologies so these systems grow steadily more capable, and it considers both the challenges and the opportunities of using AI to improve technological and business systems.

The approach draws together artificial intelligence, machine learning, systems thinking, and system modeling. The book is aimed mainly at systems engineers, though engineers in other disciplines and business professionals interested in how intelligent systems are designed will also find it relevant.