Integrated Human-Machine Intelligence 1st Edition
Grab your attention with a clear, forward-looking exploration of how people and machines can think, learn, and solve problems together. Integrated Human-Machine Intelligence, 1st Edition by Wei Liu delivers a rigorous yet accessible roadmap for the future of collaborative intelligence.
Delving beyond theory, this edition synthesizes state-of-the-art research in AI, machine learning, cognitive systems, and human factors. Liu presents practical frameworks for designing systems where human judgment and algorithmic power complement each other—covering model interpretability, adaptive interfaces, trust, ethics, and real-time decision support. Carefully structured chapters guide readers from foundational principles to applied case studies across healthcare, autonomous systems, finance, and smart cities.
Readers will appreciate clear explanations, detailed diagrams, and real-world scenarios that make complex concepts actionable. Whether you are a graduate student, researcher, product manager, or engineer, the book equips you with tools to evaluate human-AI collaboration, design responsible intelligent systems, and measure performance in mixed human-machine teams. Its insights are relevant for professionals in North America, Europe, Asia-Pacific, and beyond—helpful for international research projects and multinational technology deployments.
If you’re looking to lead in the design and governance of next-generation intelligent systems, this book is an essential reference. Enhance your understanding of integrated intelligence and stay ahead in a rapidly evolving field—order your copy of Integrated Human-Machine Intelligence, 1st Edition by Wei Liu today from major retailers and academic outlets worldwide.
Note: eBooks do not include supplementary materials such as CDs, access codes, etc.


