AIIC AI Intelligence Centre

SOURCE-LINKED INTELLIGENCE

What Do Current Systematic Generalization Tasks Miss? A Reasoning-Centered Analysis

arXiv · AI, language, vision and robotics · article · Sep 16, 2026 · UTC

Systematic generalization, the ability to solve novel problems by recombining known atomic elements, is central to human intelligence but difficult to study rigorously under controlled settings. Existing studies therefore rely on simplifications such as approximately linear action composition, productivity-based tests, and action-explicit goals, which make systematic generalization easier to study but omit some essential aspects of this capability. To characterize what these simplifications miss, we adopt a reasoning-centered lens and introduce TranSGrid, a testbed that brings deductive, induc

Read original source ↗ Open in workspace

recordType
paper
region
Global

Evidence & attribution

First collected: 2026-09-20T08:01:03.945Z. This is not the publication date.