Abstract 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).

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用于 AGI 的 BICA

摘要 AI 的 BICA 已经发生了几十年，在多个认知架构中实现。什么是 AGI 的 BICA？它要求人工智能超越预测人类语言和基于它的预测逻辑的局限性；此外，在人类可报告的意识之上，达到人类（和机器）思维的潜意识/无意识水平；然后仍然超越它。在机器认知中，这是子符号级别。它必须直接从过程中衡量格式塔或模式，这超出了人类水平的观察能力或人类可理解的语言，甚至超出了人类可读的数学语言（Boltuc，2018）。它需要多才多艺的终身学习（Siegelmann，2018）。通过复杂的随机过程，它需要通过多种多样的格式塔的创造性排列来组合，并选择那些具有有用应用的（Thaler，1997）。这是处于混沌边缘的计算（Goertzel，2006）。