Highlighting compositionality across AI systems

Statistical methods excel in large-scale data and inference efficiency.

Compositionality is a universal principle observed not only in humans but also in many other species.

Neurosymbolic AI combines statistical and analytical models for robust generalisation.

Statistical approaches enable universality of approximation and inference correctness.

Knowledge-informed methods provide explainable predictions and support compositionality.