Classic approaches to General Systems Theory often adopt an individual perspective and a limited number of systemic classes. As a result, those classes include a wide number and variety of systems that are result equivalent to each other. This paper introduces a different approach: First, systems belonging to a same class are further differentiated according to five major general characteristics. This introduces a "horizontal dimension" to system classification. A second component of our approach considers systems as nested compositional hierarchies of other sub-systems. The resulting "vertical dimension" further specializes the systemic classes and makes it easier to assess similarities and difference regarding properties such as resilience, performance, and quality-of-experience. Our approach is exemplified by considering a telemonitoring systems designed in the framework of Flemish project  . We show how our approach makes it possible to design intelligent environments able to closely follow a system's horizontal and URLanization and to artificially augment its features by serving as crosscutting optimizers and as enablers of antifragile behaviors.
Classic approaches to General Systems Theory often adopt an individual perspective and a limited number of systemic classes. As a result, those classes include a wide number and variety of systems that result equivalent to each other. This paper introduces a different approach: First, systems belonging to a same class are further differentiated according to five major general characteristics. This introduces a "horizontal dimension" to system classification. A second component of our approach considers systems as nested compositional hierarchies of other sub-systems. The resulting "vertical dimension" further specializes the systemic classes and makes it easier to assess similarities and differences regarding properties such as resilience, performance, and quality-of-experience. Our approach is exemplified by considering a telemonitoring system designed in the framework of Flemish project "Little Sister" . We show how our approach makes it possible to design intelligent environments able to closely follow a system's horizontal and URLanization and to artificially augment its features by serving as crosscutting optimizers and as enablers of antifragile behaviors.
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"Little Sister"