Behavior and Self-Similarity between Nano and Human Scales: From T-pattern and T-string Analysis (TPA) with THEME to T-Societies

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Background

This project was inspired in the sixties by primatologist D. Morris’s “The Naked Ape”, Niko Tinbergen, K. Lorenz, and K. von Frisch ethological research rewarded in 1973 by a shared Nobel Prize in Medicine or Physiology and E. O. Wilson’s 1975 opus “Sociobiology”. Other important inspirations were B. F. Skinner’s work on probabilistic real-time contingencies, N. Chomsky’s on syntactic structure and creativity, H. Montagner’s on interactions in social insects and children, S. Duncan’s on turn-taking in human dyadic interactions, and Richard Dawkins’ on behavioral hierarchy and detection algorithms.

Structured animal mass-societies (>104 individuals) are only found in insects and modern humans and understanding their similarities and differences became a major aim through a search for hidden interaction patterns. Existing multivariate and artificial neural network methods and models lacked adequate description and detection of complex real-time patterns requiring new mathematical time structure (1-D) models, now the T-system, with detection algorithms and software (THEME™).

The first was the T-pattern, a statistical hierarchical self-similar (pseudo-fractal) pattern recurring with significant translation symmetry since detected in human, animal, and brain network behavior. Gradually, T-meme, T-composition, T-associate, T-packet, T-music, T-string, T-religion, T-money, and T-society have been added.

Spatial string T-patterns, called T-strings, characterize the extra-individual voluminous purely informational (inert) texts essential for the formation of specialized individuals in human mass societies and the giant extra-individual DNA molecules essential for the formation of citizens in protein mass-societies. Such mass societies based on Giant Extra-Individual Purely Informational T-strings or GEIPITS, and thus called T-Societies, are only found in proteins and humans and T-Societies of T-Societies only in humans, a unique self-similarity.
T-societies are notably not found in earlier Homo Sapiens nor in social insects that use very different mechanisms, more like those in bodies as societies of cells.

With the invention of writing, powerful precise cumulative extra-individual (external) memory, in a biological eye-blink human T-Societies appeared with this unique self-similarity across some nine orders of magnitude in years and size, coinciding with explosive growth in human knowledge, laws, science, and technology. While humans descend from earlier primates, human mass-societies descend from the far earlier mass-societies of proteins existing on the same bio-mathematical continuum unifying culture and biology.

Presenting a new view of human modern mass social life, we aim to give the reader the most up-to-date perspective on how T-pattern detection and analysis (TPA) with Theme has led to new insight into the structure of behavior, interaction, and communication in both human and non-human subjects. We welcome contributions from a broad range of areas: behavioral and brain sciences, health sciences, sport science, education, and communication, etc.

Submissions are welcome for the following article types: original research, systematic review, methods, review, hypothesis and theory, perspective, and conceptual analysis. Also, other article types could be accepted if they make an especially valuable contribution to the topic.

For reference please see: “T-patterns, external memory and mass-societies in proteins and humans: In an eye-blink the naked ape became a string-controlled citizen”. Physiology & Behavior Volume 227, 1 December 2020, 113146: https://doi.org/10.1016/j.physbeh.2020.113146

Keywords: Interaction, T-pattern, T-string, T-society, GEIPIT, Mass-society, Self-similarity, Nanoscale, Theme™

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