Discovering hidden recurring patterns in observable behavioral processes is an important issue?frequently faced by numerous advanced students and researchers across many research areas, including?psychology, biology, sports, robotics, media, finance, and medicine. As generally, themany powerful methods included in statistical software packages were not developed for this kind of?analysis, discovering such patterns has proven a particularly difficult task, due to a lack of a) adequate?formalized models of the kinds of patterns to look for, b) corresponding detection algorithms and c)?their implementation in available software.?The research described in this book is based on the application of such pattern types, algorithms and?software developed from the late seventies to the present in the context of research?in collaboration with human and animal behavioral research teams at internationally leading?universities in the US and Europe, thus testing the usefulness and validity of the pattern types,?algorithms and software in numerous research areas. With the (scale independent statistical hierarchical and fractal-like) T-Pattern at its heart, a set of?proposed pattern types, called the T-System, forms the basis for the search algorithms implemented as?the software THEME (TM) (vs. 6), which is easily available in free educational and full commercial?versions.
Preface.- Time and Self-similar Structure in Behavior and Interactions: From Sequences to Symmetry and Fractals.- Interactive Deception In Group Decision-Making: New Insights From Communication Pattern Analysis.- Imposing Cognitive Load To Detect Prepared Lies: A T-Pattern Approach.- Paraverbal Communicative Teaching T-patterns using SOCIN and SOPROX observational systems.- The Self-Organization of Self-Injurious Behavior as Revealed Through Temporal Pattern Analyses.- Detecting and Characterizing Patterns of Behavioral Symptoms of Dementia.- Typical errors and behavioral sequences in judo techniques: knowllã½