AI RESEARCH
Human Cognition in Machines: A Unified Perspective of World Models
arXiv CS.CV
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ArXi:2604.16592v1 Announce Type: cross This comprehensive report distinguishes prior works by the cognitive functions they innovate. Many works claim an almost "human-like" cognitive capability in their world models. To evaluate these claims requires a proper grounding in first principles in Cognitive Architecture Theory (CAT). We present a conceptual unified framework for world models that fully incorporates all the cognitive functions associated with CAT (i.e.