The CICT IOU Reference Framework for Stronger AMS System Simulation in Science and Industry

To develop resilient and antifragile application and simulation, we need stronger biological and physical system correlates; in other words, we need asymptotic exact global, qualitative solutions combined to deep local quantitative results (precision) with information conservation and vice-versa. To grasp a more reliable representation of reality and to get more effective physical and biological simulation techniques, researchers and scientists need two intelligently articulated hands: both stochastic and combinatorial approaches synergistically articulated by natural coupling. The first attempt to identify basic principles to get stronger simulation solution for scientific application has been developing at Politecnico di Milano University since the end of last century. Our new operative proposal is based on CICT inner-outer universe (IOU) framework. The discrete approach reveals to be highly convenient because it strongly decreases the computational cost and the complexity of the system for representation modelling. In fact, CICT shows that any natural number D in N has associated a specific, non-arbitrary EPG-IPG (External-Internal Phase Generator) relationship) by OECS (Optimized Exponential Cyclic Sequence) coherence information that we must take into account to full conserve its information content by computation in Euclidean space. This paper is a relevant contribute towards arbitrary-scale scientific and technical systems modeling and simulation, to show how CICT can offer stronger and more effective system modeling algorithms for more reliable simulation.