Agentic Intelligence
Description
Agentic Intelligence examines the emergence of AI systems capable of autonomous goal formation, adaptive decision-making, and sustained interaction across complex environments. Framed at the intersection of artificial intelligence, cognitive science, ethics, and organizational practice, the book traces the conceptual foundations of agentic systems while rigorously interrogating their technical architectures and social implications. Through applied case studies spanning education, creative industries, and knowledge work, the volume demonstrates how agentic AI reshapes labor, authorship, and expertise rather than merely accelerating existing workflows. Written for researchers, practitioners, and institutional leaders, the book provides a critical framework for designing, governing, and integrating agentic systems responsibly within human-centered contexts.
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Dr. James Hutson specializes in polymathic research that encompasses artificial intelligence, neurohumanities, neurodiversity, immersive realities, and the gamification of education. His work also extends into institutional change, organizational culture, and workforce development, where he investigates how emerging technologies reshape strategy, readiness, and long-term adaptability in both educational and industry contexts. He earned a Bachelor of Arts in Art from the University of Tulsa, a Master of Arts in Art History from Southern Methodist University, and a Ph.D. in Art History from the University of Maryland, College Park. He later acquired additional Master's degrees in Leadership and Game Design from Lindenwood University, as well as a second Ph.D. in Artificial Intelligence from Capitol Technology University (2023). Since 2006, Hutson has held a range of pedagogical and administrative positions across five universities, including Chair of Art History, Assistant Dean of Graduate and Online Programs, and most recently, Lead XR Disruptor and Department Head of Art History, AI, and Visual Culture where he oversees human-centered AI programming. His scholarly portfolio includes several books on institutional integrations of AI, including Charting the AI Transition in Education and Business Environments: Navigating the Generative Inflection Point for Industry 4.0 Success (2024), and The Adoption of Artificial Intelligence and Inertia in Higher Education: Exploring Complex Resistance to Technological Change (2025), alongside numerous articles, chapters, and case studies.
Content
Dedication. Epigraph. Preface. Acknowledgements. List of Figures. List of Tables. Introduction-Agentic AI and the Evolution of Learning. Foundations of Modular AI-Shifting from Monolithic Systems. Fast Learning and AI-Rapid Generation and Iterative Refinement. Slow Learning and AI-Facilitating Reflective Critical Thinking. Identity and Agency-AI-Enhanced Credentialing Systems. Building AI-Ready Organizational Cultures. Custom AI Solutions-Practical Applications Across Domains. Training and Deploying AI Agents for Personal and Professional Use. Conclusion-Toward a New Paradigm in AI-Enhanced Learning and Work. Index.