Current human made application and system can be quite fragile to unexpected perturbation because Statistics can fool you, unfortunately. We need resilient and antifragile application to be ready for next generation systems. Cybernetics (i.e. control theory) and complexity theory tell us that it is actually feasible to create resilient social and economic order by means of self-organization, self-regulation, and self-governance. From this point of view, current most advanced “embedded intelligent system” is a “deficient system”, a fragile system, because its algorithms are based on statistical intelligence or knowledge only, and are lacking a fundamental system component. In fact, decision theory, based on a "fixed universe" or a model of possible outcomes, ignores and minimizes the effect of events that are "outside model". Deep epistemic limitations reside in some parts of the areas covered in decision making. Unfortunately, the "probabilistic veil" can be very opaque computationally, and misplaced precision leads to confusion. To grasp a more reliable representation of reality and to get stronger physical and biological system algorithm, researchers and scientists need two intelligently articulated hands: both stochastic and combinatorial approach synergistically articulated by natural coupling. In a continuously changing operational environment, even if operational parameters cannot be closely predefined at system design level, we need to be able to design antifragile self-organizing, self-regulating and self-adapting system quite easily anyway. We need anticipatory smart sensing system interfaces. To behave realistically, system interface must guarantee both Logical Aperture (to survive and grow) and Logical Closure (to learn and prosper), both fed by environmental "noise" (better… from what human beings call "noise"). Rational recursive sequence represents a convenient mathematical method that holds anticipatory proprieties, because it is possible to implement anticipatory computational strategies of any recursive sequence’s term quite easily. We present adaptive and learning system reference architecture for anticipatory smart sensing system interface (Interaction Interface System, IIS) capable to interact in real-time by design and to learn from its mistakes. IIS can be used even for advanced ISS (Inner Safety System) in advanced biomedical and advanced healthcare system development. To design, analyze and test IIS and ISS system properties, a simulation environment has been designed, developed and implemented, programmed in MATLAB language, called VEDA® (Visualization of Evolutionary Dynamics Application), at Politecnico di Milano. VEDA® system dynamics simulation toolbox offers a high level simulation flexibility by user-optimized graphic interface to get easier simulation task, to design, analyze and synthesize complex dynamical system behavior. In this way, it is possible to study natural complex dynamic’s simulation, to verify and validate through numerical computation and displaying the behavior of all subsystems that compose the final combined overall system performance. The present paper is a relevant contribute towards a new General Theory of Systems to show how homeostatic operating equilibria can emerge out of a self-organizing landscape of self-structuring attractor points.

Anticipatory Smart Sensing System Interface by CICT

FIORINI, RODOLFO
2014

Abstract

Current human made application and system can be quite fragile to unexpected perturbation because Statistics can fool you, unfortunately. We need resilient and antifragile application to be ready for next generation systems. Cybernetics (i.e. control theory) and complexity theory tell us that it is actually feasible to create resilient social and economic order by means of self-organization, self-regulation, and self-governance. From this point of view, current most advanced “embedded intelligent system” is a “deficient system”, a fragile system, because its algorithms are based on statistical intelligence or knowledge only, and are lacking a fundamental system component. In fact, decision theory, based on a "fixed universe" or a model of possible outcomes, ignores and minimizes the effect of events that are "outside model". Deep epistemic limitations reside in some parts of the areas covered in decision making. Unfortunately, the "probabilistic veil" can be very opaque computationally, and misplaced precision leads to confusion. To grasp a more reliable representation of reality and to get stronger physical and biological system algorithm, researchers and scientists need two intelligently articulated hands: both stochastic and combinatorial approach synergistically articulated by natural coupling. In a continuously changing operational environment, even if operational parameters cannot be closely predefined at system design level, we need to be able to design antifragile self-organizing, self-regulating and self-adapting system quite easily anyway. We need anticipatory smart sensing system interfaces. To behave realistically, system interface must guarantee both Logical Aperture (to survive and grow) and Logical Closure (to learn and prosper), both fed by environmental "noise" (better… from what human beings call "noise"). Rational recursive sequence represents a convenient mathematical method that holds anticipatory proprieties, because it is possible to implement anticipatory computational strategies of any recursive sequence’s term quite easily. We present adaptive and learning system reference architecture for anticipatory smart sensing system interface (Interaction Interface System, IIS) capable to interact in real-time by design and to learn from its mistakes. IIS can be used even for advanced ISS (Inner Safety System) in advanced biomedical and advanced healthcare system development. To design, analyze and test IIS and ISS system properties, a simulation environment has been designed, developed and implemented, programmed in MATLAB language, called VEDA® (Visualization of Evolutionary Dynamics Application), at Politecnico di Milano. VEDA® system dynamics simulation toolbox offers a high level simulation flexibility by user-optimized graphic interface to get easier simulation task, to design, analyze and synthesize complex dynamical system behavior. In this way, it is possible to study natural complex dynamic’s simulation, to verify and validate through numerical computation and displaying the behavior of all subsystems that compose the final combined overall system performance. The present paper is a relevant contribute towards a new General Theory of Systems to show how homeostatic operating equilibria can emerge out of a self-organizing landscape of self-structuring attractor points.
Proceedings of the 3rd International Conference on Applied and Computational Mathematics (ICACM 2014)
9781618042699
smart sensing, anticipatory system, adaptive system, learning system, complexity theory, simulation, epistemic uncertainty, wellbeing, health care quality, CICT, resilience, antifragility
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/965060
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