From Computing with Numbers to Computing with Numeric Words

In 2008, Lotfi Zadeh concluded that to make significant progress toward achievement of human level machine intelligence a paradigm shift is needed. In previous papers we introduced the computational information conservation theory (CICT) approach to get more effective and reliable cognitive, biophysical, and biomedical engineering simulation solutions. CICT new computational information conservation awareness can open the way for a paradigm shift to recover lost coherence information in system description and to develop even advanced quantum cognitive systems. To achieve this result, in present paper, we show the fundamental pre-spatial geometro-arithmetic scheme defining optimized numeric word generators and relations to minimize the traditional multiscale statistic modeling veil opacity and information entropy generation. It is the first, fundamental step to an effective progression from computing with numbers to computing with numeric words with precisation of their meaning. 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.