Abstract: Methods and systems are described for a computer-implemented complex adaptive systems metrology (CASM) technique for generating universally and mathematically standardized scores that quantify longitudinal evidence for either temporal-interaction scores or temporal-interaction benefit-and-harm scores to determine a quantitative significance estimate of scores for either standardized temporal-interaction scores or the standardized temporal-interaction benefit-and-harm scores.

Abstract: Methods and systems are described for a computer-implemented complex adaptive systems metrology (CASM) technique for generating universally and mathematically standardized scores that quantify longitudinal evidence for either temporal-interaction scores or temporal-interaction benefit-and-harm scores to determine a quantitative significance estimate of scores for either standardized temporal-interaction scores or the standardized temporal-interaction benefit-and-harm scores.

Abstract: Methods and systems are described for a computer-implemented complex adaptive systems metrology (CASM) technique for generating universally and mathematically standardized scores that quantify longitudinal evidence for either temporal-interaction scores or temporal-interaction benefit-and-harm scores to determine a quantitative significance estimate of scores for either standardized temporal-interaction scores or the standardized temporal-interaction benefit-and-harm scores.

Abstract: Methods and systems are described for a computer-implemented complex adaptive systems metrology (CASM) technique for generating universally and mathematically standardized scores that quantify longitudinal evidence for either temporal-interaction scores or temporal-interaction benefit-and-harm scores to determine a quantitative significance estimate of scores for either standardized temporal-interaction scores or the standardized temporal-interaction benefit-and-harm scores.

Abstract: Action coordination profiles are part of a platform data processing technology that is distinct from but often complementary to the statistical method. It uses repeated measures or time series data to measure interactions (longitudinal associations, temporal contingencies) between and among variables or sets of variables for individuals. The interaction measures show how individual complex systems may control and regulate themselves, of how two or more individual systems may interact, of how complex systems may be controlled or affected by their environments including treatments, and of how individual systems may control or affect their environments. The systems can be object of investigation such as brains, organisms, patients, economies, investment markets, populations, machines, or processes. The actions can be physical, chemical, biological, behavioral, mental, or social. This invention can be used to help inform the process of building mathematical models.

Abstract: Action coordination profiles are part of a platform data processing technology that is distinct from but often complementary to the statistical method. It uses repeated measures or time series data to measure interactions (longitudinal associations, temporal contingencies) between and among variables or sets of variables for individuals. The interaction measures show how individual complex systems may control and regulate themselves, of how two or more individual systems may interact, of how complex systems may be controlled or affected by their environments including treatments, and of how individual systems may control or affect their environments. The systems can be object of investigation such as brains, organisms, patients, economies, investment markets, populations, machines, or processes. The actions can be physical, chemical, biological, behavioral, mental, or social. This invention can be used to help inform the process of building mathematical models.

Abstract: The present invention is an improved computational method and system of empirical induction that can be used to arrive at generalized conclusions and make predictions involving longitudinal associations between and among variables and events. Empirical induction is used to gain scientific knowledge, to develop and evaluate treatments and other interventions, and to help make predictions and decisions. The invention, which is distinct from and often complementary to the statistical method, is applied to repeated measures and multiple time-series data and can be used to quantify, discover, analyze, and describe longitudinal associations for individual real and conceptual entities. Major improvements include provisions to define Boolean independent events and Boolean dependent events and to apply analysis parameters such as episode length and episode criterion for both independent and dependent variables, persistence after independent events, and delay and persistence after Boolean independent events.