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.

Quantum Cognitive Computation by CICT

FIORINI, RODOLFO
2016-01-01

Abstract

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.
2016
Proceedings of 2016 IEEE 15th International Conference on Cognitive Informatics & Cognitive Computing
978-1-5090-3845-9
Quantum Cognitive Computation; 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/11311/1003589
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