论文标题
有意识的智能需要终身自主编程出于一般目的
Conscious Intelligence Requires Lifelong Autonomous Programming For General Purposes
论文作者
论文摘要
通用图灵机[29、10、18]在计算机科学方面众所周知，但它们是出于一般目的的手动编程。尽管人类儿童从婴儿期进行有意识的学习（即，在有意识的同时学习）[24、23、14、4]，但尚不清楚普遍的图灵智力不仅可以促进我们对机器的自主编程的理解（APFGP），而且还可以促进早期有意识的学习。这项工作报告了一种新型的AI ---从机器的“婴儿”时间学习AI。这项工作没有争论有意识的机器在其“成年”期间能够执行的静态任务，而是表明APFGP是一个计算更清晰，更必要的标准，可以判断机器是否能够有意识地学习，以便它可以自主地沿其“职业道路”获得技能。这里的结果报告了新的概念和实验研究，以了解早期视觉，试听，自然语言理解和情感，并具有有意识的学习能力，这些学习能力是传统的AI系统。
Universal Turing Machines [29, 10, 18] are well known in computer science but they are about manual programming for general purposes. Although human children perform conscious learning (i.e., learning while being conscious) from infancy [24, 23, 14, 4], it is unknown that Universal Turing Machiness can facilitate not only our understanding of Autonomous Programming For General Purposes (APFGP) by machines, but also enable early-age conscious learning. This work reports a new kind of AI---conscious learning AI from a machine's "baby" time. Instead of arguing what static tasks a conscious machine should be able to do during its "adulthood", this work suggests that APFGP is a computationally clearer and necessary criterion for us to judge whether a machine is capable of conscious learning so that it can autonomously acquire skills along its "career path". The results here report new concepts and experimental studies for early vision, audition, natural language understanding, and emotion, with conscious learning capabilities that are absent from traditional AI systems.
