Description
Metacognitive Artificial Intelligence presents a comprehensive exploration of self-reflective AI systems capable of monitoring, evaluating, and improving their own thinking processes. Written by renowned experts Paulo Shakarian and Hua Wei, this Cambridge University Press publication bridges the gap between cognitive science and artificial intelligence.
The book examines how metacognitive abilities—thinking about thinking—can be implemented in AI systems to enhance performance, improve decision-making, and enable machines to learn from their own experiences more effectively. Through theoretical frameworks and practical examples, the authors demonstrate how metacognition can lead to more robust, transparent, and trustworthy AI systems.
Ideal for researchers, practitioners, and students in AI and computer science, this work provides essential insights into the future of intelligent systems that can understand their own limitations and capabilities, ultimately advancing the field toward more sophisticated and reliable artificial intelligence.
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