Task-layer multiplicity as a measure of community healthReport as inadecuate




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1 University of Missouri - St. Louis

Abstract : A small number of perhaps only 6 broken-symmetries, marked by the edges of a hierarchical series of physical subsystem-types, may underlie the delicate correlation-based complexity of life on our planet-s surface. Order-parameters associated with these broken symmetries might in the future help us broaden our definitions of community well-being. For instance we show that a model of metazoan attention-focus, on correlation-layers that look in-out from the 3 boundaries of skin, family & culture, predicts that behaviorally-diverse communities require a characteristic task-layer multiplicity per individual of only about 4¼ of the six correlation layers that comprise that community. The model may facilitate explorations of task-layer diversity, go beyond GDP & body count in quantifying the impact of policy-changes & disasters, and help manage electronic idea-streams in ways that strengthen community networks. Empirical methods for acquiring task-layer multiplicity data are in their infancy, although for human communities a great deal of potential lies in the analysis of web searches and perhaps other forms of self-reporting.

Keywords : statistical inference subsystem correlations broken symmetry layered complexity order parameter evolving codes community health





Author: P Fraundorf -

Source: https://hal.archives-ouvertes.fr/



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