CICT的量子认知计算

R. Fiorini
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引用次数: 7

摘要

我们展示并讨论了计算信息守恒理论(CICT)如何帮助我们开发具有竞争力的先进量子认知计算系统,以实现深度计算认知智能。CICT对编码异构双曲结构的离散HG(双曲几何)子空间(互反空间,RS)的新认识,在熟悉的Q欧几里得(直接空间,DS)系统表面表示的基础上,为全息信息几何(HIG)恢复系统描述中丢失的相干信息和开发先进的量子认知系统开辟了道路。本文是对一个有效和方便的“科学2.0”通用计算框架的相关贡献,以实现更深入的认知智能,在你的指尖和超越。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantum cognitive computation by CICT
We show and discuss how computational information conservation theory (CICT) can help us to develop even competitive advanced quantum cognitive computational systems towards deep computational cognitive intelligence. CICT new awareness of a discrete HG (hyperbolic geometry) subspace (reciprocal space, RS) of coded heterogeneous hyperbolic structures, underlying the familiar Q Euclidean (direct space, DS) system surface representation can open the way to holographic information geometry (HIG) to recover lost coherence information in system description and to develop advanced quantum cognitive systems. This paper is a relevant contribution towards an effective and convenient “Science 2.0” universal computational framework to achieve deeper cognitive intelligence at your fingertips and beyond.
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