Simulation of Non-Primate Intelligence vs Human Intelligence vs Superhuman AGI vs Alien-Like AGI

The Causal Cognitive Architecture is a brain-inspired cognitive architecture whereby millions of neocortical minicolumns are modeled in the architecture as millions of navigation maps, capable of holding spatial features and small procedures. The Causal Cognitive Architecture 7 (CCA7), possessing the same properties of its predecessor of fully grounded, continuous lifetime learning, associative reasoning, full causal reasoning, analogical reasoning, and near-full compositional language comprehension, also possesses superhuman planning abilities and on a conceptual level can serve as a proxy for superhuman artificial general intelligence (AGI). A simulation of this architecture, and subsets of it, are used to model pre-mammalian and non-primate mammalian-level artificial intelligence (AI), human-level artificial intelligence (HLAI), superhuman AGI and links to a large language model (LLM) as a proxy for an alien-like (i.e., non-biologically-based) AGI. The models were tested on a compositionality problem with the best scores: superhuman >  = HLAI > LLM > pre-mammalian/mammalian (p < 0.001). Testing on a traveling salesperson problem: superhuman > LLM > HLAI > pre-mammalian/mammalian (p < 0.001). These results indicate the need to consider intrinsic compositional and planning abilities in the development of AGI systems.