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Explore the cutting-edge concept of artificial metacognition in this 23-minute extended conference talk that builds upon research presented at AAAI-2026. Delve into the theoretical foundations and practical implications of developing AI systems capable of thinking about their own thinking processes. Examine how metacognitive abilities could enhance artificial intelligence by enabling self-reflection, self-monitoring, and adaptive learning strategies. Learn about the intersection of symbolic reasoning methods and deep learning approaches in creating more sophisticated AI architectures. Discover the latest research findings, algorithmic developments, and their potential contributions toward achieving artificial general intelligence. Access the accompanying research paper for deeper technical insights into this emerging field that combines neurosymbolic AI principles with metacognitive frameworks.
Syllabus
Toward Artificial Metacognition (extended version of AAAI-2026 talk)
Taught by
Neuro Symbolic