Automation and Robotics

This talk presents a self-similar pattern type called T-pattern, a kind of statistical peseudo fractal recurring with signifi cant translation symmetry on a single discrete dimention. It now comes with a specialized detection (evolution) algorithm implemented as the soft ware THEMETM for Windows (see patternvision.com), which has allowed the discovery of numerous and complex interaction patterns in many kinds of human and animal interactions as well as in neuronal interactions within living brains. T-patterns have also been detected in interactions between robots and humans and also seem characteristic for the structure of DNA and text. A defi nition of T-patterns is presented as well as the essentials of the current detection

algorithms including examples of detected T-patterns using the specially developed T-pattern diagrams. Th e T-pattern is now a

part of a larger set of pattern types and relations called T-system that will be shortly described including examples of patterning detected with specially developed algorithms also implemented in THEMETM. Th e potential importance of T-patterns is fi nally illustrated through a comparison of human mass societities and the mass societies of proteins within biological cells (sometimes called “Cell City”), where self-similarity of organization evolved over billions of years is striking from nano to human scales based on self-similar T-patterns, but appearing suddenly among large-brain animals in humans only and partly based on massively copied standardized T-patterned letter strings such as holy books and constitutions.