Empowering Cognition by Precisation of Numeric Words

Abstract intelligence is a human enquiry of both natural and artificial intelligence at the reductive embodying levels of neural, cognitive, functional, and logical from the bottom up. The convergence of software and intelligent sciences forms the transdisciplinary field of computational intelligence. In 2008, Lotfi Zadeh concluded that to make significant progress toward achievement of human level machine intelligence a paradigm shift is needed. CICT new computational information conservation awareness can open the way for an effective paradigm shift to recover lost coherence information in system description and to develop even advanced quantum cognitive systems. 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 a reliable progression from computing with numbers to computing with numeric words with precisation of their meaning.