自我、意志和反思意识的超集模型

B. Goertzel
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引用次数: 13

摘要

提出了一种新的反思意识、意志和自我理论,该理论基于使用称为超集的自我参照数学结构对这些实体进行建模。模式理论被用来论证这些奇异的数学结构可以被有意义地视为物理系统,甚至是有限计算系统的思想的一部分。所提出的超集模型被假设为在人类大脑和任何与人类思维大致相似的人工智能系统的“移动的注意力气泡”中出现的模式。这些观点似乎与泛心论和唯物主义的意识观兼容,也可能与其他观点兼容。详细阐述了它们与CogPrime AI设计的关系及其在OpenCog软件框架中的实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HYPERSET MODELS OF SELF, WILL AND REFLECTIVE CONSCIOUSNESS
A novel theory of reflective consciousness, will and self is presented, based on modeling each of these entities using self-referential mathematical structures called hypersets. Pattern theory is used to argue that these exotic mathematical structures may meaningfully be considered as parts of the minds of physical systems, even finite computational systems. The hyperset models presented are hypothesized to occur as patterns within the "moving bubble of attention" of the human brain and any roughly human-mind-like AI system. These ideas appear to be compatible with both panpsychist and materialist views of consciousness, and probably other views as well. Their relationship with the CogPrime AI design and its implementation in the OpenCog software framework is elucidated in detail.
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