Computational information conservation theory (CICT) can help us to develop competitive applications and even advanced quantum cognitive computational application and 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.

Towards Advanced Quantum Cognitive Computation

Fiorini, Rodolfo A.
2017-01-01

Abstract

Computational information conservation theory (CICT) can help us to develop competitive applications and even advanced quantum cognitive computational application and 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.
2017
Cognitive intelligence; computational intelligence; CICT; deep learning; deep thinking
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1037083
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