This paper presents The Unity of Science by answering four fundamental concerns about nature: 1) The ultimate property of everything— the intrinsicality of nature is not only logicality, but also logicality’s non-absoluteness; 2) The ultimate impact of everything— the “General Impact of Nature” (GIN) is what can explain mental processes physically; 3) The proto-structure of everything— the “architect of everything” is with two three-point group concepts; 4) One architecture to host everything— the “general model of nature” provided a whole picture (...) of nature by particularly describing what consciousness is. With this unity, we have developed seven points to complete the unification of all knowledge. But all these are structured on reductionism and neutral monism. (shrink)

This paper presents the unification of all knowledge and the framework of all sciences, so it goes the theory of consciousness, the method to measure consciousness, and the three keys of the Strong AI. “Logicality and non-absoluteness” is found out to be the intrinsicality of nature, so the “Fundamental Law of Nature” is discovered. Then, the “general methodology of research” and the “model system of nature” are developed to explain everything, especially consciousness. The Coupling Theory of Consciousness tells that (...) nature has the MFEs (More Fundamental Element) that couple to show as material and consciousness, and the brain has a CNS (central nervous system)-independent consciousness system that couples to give off the consciousness signals, with their three excitation levels to show as memory, sub-consciousness, and subjective consciousness. As consciousness is not from neurons, the method to measure consciousness via NCC (neural correlates of consciousness) is to find out participants with the same kinds of consciousness systems. And make them to produce paralleled “conscious information processes” to filtrate out the “noise” neural activities, to obtain the “real” NCC data. Examining the property of consciousness may advance not only neuroscience and physics, but also cognitive science and AI technology. First, the “conscious information processing” model has shown that the Strong AI should process the beyond-domain concepts with a self-controlled intention, second, as the “general methodology of research” is just the other name of the “principle of cognition”, we have already known the running style of the Strong AI. Hopefully, we could develop the Strong AI technology to upgrade human civilization very soon. (shrink)