Raisonnement abstrait
en construction
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Voir aussi Corpus d'Abstraction et de Raisonnement
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Abstract Reasoning
Fluid Intelligence
Abstract reasoning is the ability to solve complex problems by identifying regularities and relations in the problem being solved and utilizing them for deducing the solution. Changes in how problems are phrased that seem minor to humans and do not affect their performance can render them unsolvable to networks. In a field dominated by extensive training with an extensive number of examples, abstract reasoning models aim to close the gap between human fluid intelligence and the performance of deep neural networks, which typically require extensive prior training. In fact, abstract reasoning is possible even in naïve and random ANNs and these networks can achieve what looks like symbolic abstract reasoning without any training and, hence, any memory recall.
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