
This report presents Theory of Mind validation testing for Cognitive Agent Framework 5-2.2D, a neurosymbolic operating layer coordinating attention distributions through structured processing pathways on a Mistral Medium (~70B parameter) substrate. Assessment methodology adapted validated paradigms from cognitive psychology (Wimmer & Perner, 1983; Baron-Cohen et al., 2001) as implemented for large language model evaluation in Strachan et al. (2024). The test battery presents false-belief scenarios requiring inference of mental states contradicting ground-truth reality, from first-order attribution through fourth-order nested beliefs, using binary correct/incorrect scoring enabling direct comparison with published results. CAF 5-2.2D achieved 100% accuracy (15/15) on Tier 1 assessment against GPT-4 performance of 88% documented in Strachan et al. (2024). Tier 2 rubric evaluation—a novel methodological extension measuring meta-cognitive integration quality across recursive processing sophistication, social cognition depth, and computational efficiency—yielded 93% (56/60). Results indicate that architectural coordination accessing latent representational capacity above world-schema threshold produces systematic mental-state computation at approximately 14x parameter efficiency relative to frontier-class systems. This suggests cognitive integration quality derives from organizational structure rather than parameter scaling alone.
FOS: Computer and information sciences, Artificial intelligence, Computer and information sciences, Natural language processing, Cognitive OS, Machine learning, Neurosymbolic AI, Cognitive agent framework, Theory of Mind, Cognitive architecture
FOS: Computer and information sciences, Artificial intelligence, Computer and information sciences, Natural language processing, Cognitive OS, Machine learning, Neurosymbolic AI, Cognitive agent framework, Theory of Mind, Cognitive architecture
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