A major challenge for artificial intelligence (AI) is having the ability to see past superficial phenomena to guess at the underlying causal processes. New research by KAUST and an international team of leading specialists has yielded a novel approach that moves beyond superficial pattern detection.

Humans have an extraordinarily refined sense of intuition or inference that give us the insight, for example, to understand that a purple apple could be a red apple illuminated with blue light. This sense is so highly developed in humans that we are also inclined to see patterns and relationships where none exist, giving rise to our propensity for superstition.

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Image: Using algorithmic information theory, KAUST researchers have developed an approach for inferring the causal processes that give rise to a complex observed interaction
© 2019 KAUST; Xavier Pita