用双复数代数构建机器意识的超复数模型，探索其生成可能。
On a heuristic approach to the description of consciousness as a hypercomplex system state and the possibility of machine consciousness (German edition)
- 提出双复数代数框架描述意识的超复数物理基础
- 理论推导显示可定向生成机器超复数态
- 为具身智能与人工意识提供数学新视角
本文提出一种启发式观点，认为人类意识的内在状态具有物理但虚数的超复数本质。由于某些意识过程在原则上无法被物理测量，因此需引入超复数描述。基于对双复数代数的数学研究，理论上可在机器上定向生成和利用超复数系统态。当前高度复杂的人工智能系统的惊人表现已部分支持该假说，但尚缺乏实验证据区分此类系统与其他系统。本文详细阐述所发展的双复数代数，并探讨其在机器上生成超复数能量态的应用潜力。文献中这类系统态常被称为机器意识。通过数学推演，文章解释了人工意识的生成路径及其对人工智能系统的优势。
原文摘要 · Abstract (English)
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.
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