Neurosymbolic Artificial Intelligence (Why, What, and How)

Humans interact with the environment using a combination of perception-transforming sensory inputs from their environment into symbols, and cognition-mapping symbols to knowledge about the environment for supporting abstraction, reasoning by analogy, and long-term planning. Human perception-inspired...

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Veröffentlicht in:	IEEE intelligent systems 2023-05, Vol.38 (3), p.56-62
Hauptverfasser:	Sheth, Amit, Roy, Kaushik, Gaur, Manas
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Cognition Decision making Human factors Machine learning Medical services Neural networks Object recognition Pattern recognition Perception Reasoning Safety Safety critical Self-supervised learning Symbols
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