We approach the question "What is Consciousness?" in a new way, not as Descartes' "systematic doubt", but as how organisms find their way in their world. Finding one's way involves finding possible uses of features of the world that might be beneficial or avoiding those that might be harmful. "Possible uses of X to accomplish Y" are "Affordances". The number of uses of X is indefinite (or unknown), the different uses are unordered and are not deducible from one another. All biological adaptations are either affordances seized by heritable variation and selection or, far faster, by the organism acting in its world finding uses of X to accomplish Y. Based on this, we reach rather astonishing conclusions: (1) Artificial General Intelligence based on Universal Turing Machines (UTMs) is not possible, since UTMs cannot "find" novel affordances. (2) Brain-mind is not purely classical physics for no classical physics system can be an analogue computer whose dynamical behavior can be isomorphic to "possible uses". (3) Brain mind must be partly quantum - supported by increasing evidence at 6.0 sigma to 7.3 Sigma. (4) Based on Heisenberg's interpretation of the quantum state as "Potentia" converted to "Actuals" by Measurement, a natural hypothesis is that mind actualizes Potentia. This is supported at 5.2 Sigma. Then Mind's actualizations of entangled brain-mind-world states are experienced as qualia and allow "seeing" or "perceiving" of uses of X to accomplish Y. We can and do jury-rig. Computers cannot. (5) Beyond familiar quantum computers, we discuss the potentialities of Trans-Turing-Systems.
翻译:我们以一种新的方式去探讨“什么是意识”的问题,而不是作为Descartes的“系统性怀疑”,而是作为生物体在其世界中如何找到自己的方式。找到一个人的方法需要找到可能使用可能有益于或避免可能有害的东西的世界特征的可能性。 “X可能用于实现Y” 是不可能的“Affordances ” 。 X 的用途数量是无限的(或未知的), 不同的用途是没有顺序的, 而不是相互取笑。 所有的生物适应要么是被遗传变异和选择所抓住的, 要么是被生物体在其世界中寻找到X的用途来完成Y。 基于这一点,我们得出了相当惊人的结论:(1) 以通用图腾机器(UTMs)为基础的人工通用情报不可能实现Y的“forforestance ” 。(2) 没有古典物理学系统的大脑偏移不是纯粹的古典物理学物理学, 其动态的计算机可以被“可能的用途” 。(3) 大脑头脑必须部分被“Sdegimatial delisal ” 用于“Scialalalalalalalalal diversalal ” 。