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Upload Your Mind To A Computer !

Authors: Krima Yassine;

Upload Your Mind To A Computer !

Abstract

we propose a conceptual framework in which we render possible the simulation and upload of consciousness into a computer and sutdy it . we thus formulate our understanding of consciousness in terms of a precise computable and comprehensible framework in order to explore and study perceptual processing within any integrated system mainly in terms of simplifed algorithms ,digits and strings and threw out a minimalistic and miticulous methodology in order to render its conceptual possibility of being uploaded into a computer thus by studying its conceptual propreties neccesary for the application. Here, it is proposed that consciousness is bulit upon complexity which allows informational processing to ‘evolve’ and devolope more subtile mechanisms . Neural networks become a simple emerging componenet within the mechanics that can be expressed and computed in terms of evolutionary algorithms and would exist only when conditioned by the processing of information . This will allow us to describe every possible experience within any integrated system in terms of simple algorithms that can then be syntethized ( computed) into a language which we call the ‘design language’ or perceptual language.. We then elaborate an interactive ‘map’ in order to illustrate graphically our language as a sequential computation where each ‘step’ within the processing is labeled as an event that constitue an element in the overall description. We finally conclude our project by very important implications and discuss about various applications.

Keywords

Computing consciousness, Computational Neuroscience, Consciousness, Mind uploading, Beyond Consciousness

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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