System antifragility can be developed quite easily by CICT Infocentric Worldview. Our main idea is to introduce a new networking node able to bind known information to the unknown one coherently. Unknown “environmental noise” or/and local “signal input” information can be aggregated to known “system internal control status” information, to provide a self-organizing landscape of self-structuring synthetic attractor points. This approach can be applied at any system scale: from single quantum system application development to full system governance strategic assessment policies and beyond. Application examples are presented. Expected impacts are multifarious and quite articulated at different system scale levels: at theoretic level, major one is that Biomedical Engineering ideal system categorization levels can be matched exactly to practical system modeling interaction styles, with no paradigmatic operational ambiguity and information loss. Furthermore, the present paper is a relevant contribute towards a new General Theory of Systems to show how homeostatic equilibria can emerge out of a selforganizing landscape of self-structuring attractor points.
From Systemic Complexity to Systemic Simplicity: A New Networking Node Approach. Sixth National Conference on Systemic Science
FIORINI, RODOLFO
2016-01-01
Abstract
System antifragility can be developed quite easily by CICT Infocentric Worldview. Our main idea is to introduce a new networking node able to bind known information to the unknown one coherently. Unknown “environmental noise” or/and local “signal input” information can be aggregated to known “system internal control status” information, to provide a self-organizing landscape of self-structuring synthetic attractor points. This approach can be applied at any system scale: from single quantum system application development to full system governance strategic assessment policies and beyond. Application examples are presented. Expected impacts are multifarious and quite articulated at different system scale levels: at theoretic level, major one is that Biomedical Engineering ideal system categorization levels can be matched exactly to practical system modeling interaction styles, with no paradigmatic operational ambiguity and information loss. Furthermore, the present paper is a relevant contribute towards a new General Theory of Systems to show how homeostatic equilibria can emerge out of a selforganizing landscape of self-structuring attractor points.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
