BICA for AGI

BICAs for AI have been happening for decades, realized within multiple cognitive architectures. What is a BICA for AGI? It requires AI to go beyond the limitations of predicative human language, and of predicative logic based on it; also, above human reportable consciousness, to the subconscious/non-conscious level of human (and machine) mind; and then still beyond it. Within machine cognition this is the sub-symbolic level. It has to gauge gestalts, or patterns, directly from the processes, which goes beyond human-level observational capacities or human-understandable language, even beyond the language of human-readable mathematics (Boltuc, 2018). It requires versatile life-long learning (Siegelmann, 2018). Through complex stochastic processes, it needs to confabulate by creative permutations of multifarious gestalts and to select those with useful applications (Thaler, 1997). This is computing at the edge of chaos (Goertzel, 2006).