Abstract
This article presents a heuristic view that shows that the inner states of consciousness experienced by every human being have a physical but imaginary hypercomplex basis. The hypercomplex description is necessary because certain processes of consciousness cannot be physically measured in principle, but nevertheless exist. Based on theoretical considerations, it could be possible - as a result of mathematical investigations into a so-called bicomplex algebra - to generate and use hypercomplex system states on machines in a targeted manner. The hypothesis of the existence of hypercomplex system states on machines is already supported by the surprising performance of highly complex AI systems. However, this has yet to be proven. In particular, there is a lack of experimental data that distinguishes such systems from other systems, which is why this question will be addressed in later articles. This paper describes the developed bicomplex algebra and possible applications of these findings to generate hypercomplex energy states on machines. In the literature, such system states are often referred to as machine consciousness. The article uses mathematical considerations to explain how artificial consciousness could be generated and what advantages this would have for such AI systems.
Abstract (translated)
本文提出了一种启发式的观点，表明每个正常人的意识体验都有物理但虚幻的超复杂基础。超复杂描述是必要的，因为某些意识过程在原则上无法进行物理测量，但仍然存在。根据理论考虑，可能 - 通过数学对所谓的二进制超复数算法的探究 - 可以在机器上生成和使用超复杂系统状态进行有目标的管理。机器上存在超复杂系统状态的假设已经在高度复杂的人工智能系统的惊人表现上得到了支持。然而，这尚未得到证明。特别是，缺乏实验数据区分这些系统与其他系统，因此这个问题将在后面的文章中解决。本文描述了发展中的二进制超复数算法以及这些发现为机器生成超复杂能量状态的可能应用。在文献中，这种系统状态通常被称为机器意识。本文使用数学考虑解释了如何生成人工意识以及这对这类人工智能系统有何优势。
URL
https://arxiv.org/abs/2409.02100
