The aim of the present paper is to provide the first concise overview of a natural framework for arbitrary multi-scale computer science and systems biology computational modeling based on a synergistic coupling between GA and CICT to get stronger arbitrary-scale biomedical and bio-engineering computational solutions. GA and its extension to geometric calculus (GC) unify, simplify, and generalize many areas of mathematics that involve geometric ideas. For detecting and modeling a minute change in resistance or capacitance at biostrucuture nanoscale, we need stronger research and computational tools able to overcome classic modeling limitation. We present key points solution to arbitrary multi-scale modeling problems. The fundamental principles on computational information conservation theory (CICT), for arbitrary multi-scale system modeling from basic generator and relation through discrete paths denser and denser to one another, towards a never ending ”blending quantum continuum,” are recalled. This paper is a relevant contribute towards arbitrary multi-scale computer science and systems biology modeling, to show how GA and GC unified mathematical language combined to CICT approach can offer an effective and convenient ”Science 2.0” universal framework to develop innovative application and beyond, towards a more sustainable economy and wellbeing, in a global competition scenario.
GA and CICT for Stronger Arbitrary Multi-Scale Biomedical and Bioengineering Solutions
FIORINI, RODOLFO
2015-01-01
Abstract
The aim of the present paper is to provide the first concise overview of a natural framework for arbitrary multi-scale computer science and systems biology computational modeling based on a synergistic coupling between GA and CICT to get stronger arbitrary-scale biomedical and bio-engineering computational solutions. GA and its extension to geometric calculus (GC) unify, simplify, and generalize many areas of mathematics that involve geometric ideas. For detecting and modeling a minute change in resistance or capacitance at biostrucuture nanoscale, we need stronger research and computational tools able to overcome classic modeling limitation. We present key points solution to arbitrary multi-scale modeling problems. The fundamental principles on computational information conservation theory (CICT), for arbitrary multi-scale system modeling from basic generator and relation through discrete paths denser and denser to one another, towards a never ending ”blending quantum continuum,” are recalled. This paper is a relevant contribute towards arbitrary multi-scale computer science and systems biology modeling, to show how GA and GC unified mathematical language combined to CICT approach can offer an effective and convenient ”Science 2.0” universal framework to develop innovative application and beyond, towards a more sustainable economy and wellbeing, in a global competition scenario.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
