Document Type
Article
Abstract
Te insights of many disciplines, and of commonsense, about individual-level well-being might be strengthened by a shif in focus to community-level well-being in a way that respects belief systems as well as the power of each individual. We start with the jargon of complex systems and the possibility that a small number of broken symmetries, marked by the edges of a hierarchical series of physical subsystem types, underlie the delicate correlation-based complexity of life on our planet’s surface. We show that an information-theory-inspired model of attention-focus on correlation layers, which looks in/out from the boundaries of skin, family, and culture, predicts that behaviorally diverse communities may tend toward a characteristic task-layer multiplicity per individual of only e29/20 ≅ 4.26 of the six correlation layers that comprise that community. Tis behavioral measure of opportunity may help us to (i) go beyond GDP in quantifying the impact of policy changes and disasters, (ii) manage electronic idea-streams in ways that strengthen community networks, and (iii) leverage our paleolithic shortcomings toward the enhancement of community-level tasklayer diversity. 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 asynchronous experience sampling similar to that used by “fu near you.”
Publication Date
July 2019
Publication Title
Complexity
First Page
1
Last Page
8
DOI
10.1155/2019/1082412
Recommended Citation
Fraundorf, Phil, "Task-Layer Multiplicity as a Measure of Community Level Health" (2019). Physics Faculty Works. 44.
DOI: https://doi.org/10.1155/2019/1082412
Available at:
https://irl.umsl.edu/physics-faculty/44