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Mass-societies and robots at nano and human scales: T-patterns, T-strings, and self-similarity | Abstract
Journal of Chemical Engineering & Process Technology

Journal of Chemical Engineering & Process Technology
Open Access

ISSN: 2157-7048

Abstract

Mass-societies and robots at nano and human scales: T-patterns, T-strings, and self-similarity

Magnus S Magnusson

Modern robotics is a product of human collective intelligence in mass societies and a good outcome requires studies of the physiology and psychology of individuals and their societies and much inspiration still comes from studying our ancestral primates living in social groups and insects living in complex mass societies. But none of the species studied by biologists were components of any others with, until recently no talk of self similarity, but this may be changing with the entry on stage of nanoscale actors, proteins, with their mass societies, providing a possibly revolutionizing view of life in human modern mass societies. This long-lasting study of human interactions beginning in the early 70’s, just as Nico Tinbergen, Konrad Lorenz and Karl von Frisch received their 1973 Nobel Prize for biological research on behavior, has led to the development of a real-time pattern type, called T-pattern, but called T-string when in physical strings such as molecules or text, with adequate detection algorithms and software (THEMETM, PatternVision.com). T-patterns are hierarchical mathematical self-similar patterns that recur with significant translation symmetry and have been detected in numerous studies of interaction in humans and animals, and also robot-human interactions. Illustrative examples will be presented.

Published Date: 2021-04-24; Received Date: 2021-03-17