This paper aims to offer an innovative and original solution methodology proposal to the problem of arbitrary complex multiscale (ACM) ontological uncertainty management (OUM). The solution is based on the postulate that society is an ACM system of purposive actors within continuous change. Present social problems are multiscale-order deficiencies, which cannot be fixed by the traditional hierarchical approach alone, by doing what one does better or more intensely, but rather by changing the way one does it.
This paper treasures several past guidelines, from McCulloch, Wiener, Conant, Ashby and von Foerster to Bateson, Beer and Rosen’s concept of a non-trivial system to arrive to an indispensable and key anticipatory learning system (ALS) component for managing unexpected perturbations by an antifragility approach as defined by Taleb. This ALS component is the key part of our new methodology called “computational information conservation theory (CICT) OUM” approach, based on brand new numeric system behavior awareness from CICT.
To achieve an antifragility behavior, next generation system must use new CICT OUM-like approach to face the problem of multiscale OUM effectively and successfully. In this manner, homeodynamic operating equilibria can emerge out of a self-organizing landscape of self-structuring attractor points in a natural way.
This paper presents a relevant contribution toward a new post-Bertalanffy Extended Theory of Systems. Due to its intrinsic self-scaling properties, this system approach can be applied at any system scale: from single quantum system application development to full system governance strategic assessment policies and beyond.
The new post-Bertalanffy Extended Theory of Systems Framework allows, for the first time, social, biological and biomedical engineering ideal system categorization levels, from an operational perspective, to be matched exactly to practical system modeling interaction styles, with no paradigmatic operational ambiguity and information loss.
Even new social and advanced health and wellbeing information application can successfully and reliably manage higher system complexity than contemporary ones, with a minimum of design specification and less system final operative environment knowledge at design level. The present paper offers for discussion an innovative solution proposal for the complex society and big government modeling and management approach.
Specifically, advanced wellbeing applications, high reliability organization, mission critical project system, very low technological risk and crisis management system can benefit highly from our new methodology called CICT OUM approach and related techniques. This paper presents a relevant contribution toward a new post-Bertalanffy Extended Theory of Systems. Due to its intrinsic self-scaling properties, this system approach can be applied at any system scale: from a single quantum system application development to full system governance strategic assessment policies and beyond.
The author acknowledges the continuous support from the CICT CORE Group of Politecnico di Milano University, Milano, Italy, for extensive computational modeling and simulation resources. Furthermore, the author is grateful to the editor of Kybernetes and to the anonymous referees for their perceptive and helpful comments, which helped the author substantially improve previous versions of the manuscript.
Fiorini, R.A. (2017), "Would the big government approach increasingly fail to lead to good decision? A solution proposal", Kybernetes, Vol. 46 No. 10, pp. 1735-1752. https://doi.org/10.1108/K-01-2017-0013
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