Why AI systems don't learn and what to do about it: Lessons on autonomous learning from cognitive science

ArXi:2603.15381v1 Announce Type: new We critically examine the limitations of current AI models in achieving autonomous learning and propose a learning architecture inspired by human and animal cognition. The proposed framework integrates learning from observation (System A) and learning from active behavior (System B) while flexibly switching between these learning modes as a function of internally generated meta-control signals (System M