New mathematics for informatics

One of the major challenging tasks in science has been developing methods with which we can obtain useful information about the physical world on the basis of inferences drawn from observations/measurements. These methods (commonly known as observational or inverse models) would allow us to make useful predictions of the probable outcomes in complicated and realistic situations, such as predicting the properties/evolution of physical, chemical, and biological systems, to name but few – without knowing their underlying physical principles.

 In other words, the task is finding the mathematical representations (models) of physical phenomena purely from introspection or observations (or both). And this is the main aim of this project.