{ "item_title" : "Agentic AI for Noetic Intelligence", "item_author" : [" Mehmet Yildiz "], "item_description" : "What happens when our machines become more capable of acting intelligently, but our organizations struggle to make wiser decisions? Artificial intelligence is entering a consequential new phase. Agentic systems now pursue goals, use tools, coordinate work, and take authorized actions beyond conventional automation and generative AI. Yet a fundamental paradox remains: an enterprise may deploy hundreds of intelligent agents and automate complex operations without improving its decisions. Individual agents can succeed while the organization fails. More artificial intelligence does not automatically create a more intelligent enterprise. How can human expertise and artificial agency improve judgment? Who remains accountable? What makes an institution genuinely intelligent? Drawing on decades of work in cognitive science, invention, executive leadership, and enterprise architecture, I introduce Noetic Intelligence: an integrative approach that connects human cognition, artificial agency, organizational knowledge, contextual understanding, reflective judgment, and responsible action. At the center is my original NOETIC Enterprise COGNITION(TM) Framework, an architectural approach to coordinating people, agents, information, decision authority, and institutional learning. The future of intelligent enterprises depends less on the number of agents deployed than on the decisions, relationships, and responsibilities connecting people and machines. Across 31 chapters in six connected parts, this scholarly yet accessible executive guide explores: Agentic AI foundations: What distinguishes agents from chatbots and conventional automation, and how planning, memory, reasoning, tool use, and feedback support autonomous action. Human and artificial cognition: Insights from neuroscience, cognitive science, and decision science on attention, intuition, learning, uncertainty, and computational limits. Noetic Intelligence and wisdom: How contextual understanding, ethical responsibility, reflective judgment, and purposeful action can improve institutional decisions. Cognitive enterprise architecture: Single-agent and multi-agent systems, swarm intelligence, enterprise memory, cognitive operating systems, governance, and adaptive learning. Real-world applications: Implications for business strategy, healthcare, education, public administration, and human-AI collaboration. Collective intelligence and society: Human-AI co-evolution, cognitive nations, augmented wisdom, and the possibilities and responsibilities of Noetic Societies. Many books explain agent frameworks and orchestration tools. This book connects technology with the cognitive, architectural, managerial, and ethical conditions for dependable value. It separates demonstrated capabilities from emerging possibilities, engineering practice from conceptual proposals, and computational performance from sound judgment. Rather than proposing that agents replace people, it examines how human and artificial intelligence can work together while preserving meaningful accountability. I wrote this book for CEOs, CIOs, CTOs, CDOs, Chief AI Officers, enterprise architects, innovation leaders, researchers, educators, policymakers, consultants, and graduate students. This book is an executive guide to coordinating intelligence across people, machines, organizations, and societies. The challenge is developing the judgment and institutional capacity to direct their actions responsibly. Our greater challenge is to develop the collective wisdom to use that intelligence well.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/816/570/9798165700873_b.jpg", "price_data" : { "retail_price" : "49.95", "online_price" : "49.95", "our_price" : "49.95", "club_price" : "49.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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