Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Engineering Functional Self-Awareness in AI Systems: From Metacognition to Closed-Loop Autonomy

Engineering Functional Self-Awareness in AI Systems: From Metacognition to Closed-Loop Autonomy

Etukuru, Raghurami Reddy

Paperback

Technology & EngineeringGeneral Computers

ISBN10: 1663279276
ISBN13: 9781663279279
Publisher: iUniverse
Published: Jun 2 2026
Pages: 280
Weight: 0.83
Height: 0.59 Width: 6.00 Depth: 9.00
Language: English
As AI systems grow more capable, the next dimension shifts toward the question of the self in AI. Modern systems can reason and act across domains, yet they remain fundamentally passive, unable to evaluate their own reliability, regulate their behavior, or recognize the limits of their competence. This gap becomes increasingly consequential as systems scale. This book presents a systems-engineering framework for building autonomous intelligent systems. Here, functional self-awareness is treated as an architectural property arising from the integration of persistent self-models, metacognition, self-governance, and explicit uncertainty awareness. These mechanisms enable systems to monitor their own reasoning, constrain their actions, and remain governable over time. Drawing on control theory, AI systems engineering, and real-world failure modes, the book reframes self-aware AI as a practical requirement for safe, scalable intelligence. It off ers a rigorous, lifecycle-oriented approach for engineers, researchers, and product leaders designing AI systems that must understand and regulate themselves.

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