The article deals with the scientific principles of modern cognitive modeling offered in foreign practice to combine already existing and new models in the future in the form of cognitive architectures. Our approach is based on the concept of a unified theory of cognition, described by Alan Newell, which offers the general provisions for cognitive models used in all areas. In the computer environment, the theory is realized in the form of cognitive architectures. Shown, cognitive architecture is a system integration of static and behavioral models, which provides a solid approach to modeling knowledge of social processes, from the empirical data to quantify the simulation of results, from level of the neural description to system level, thus the cognitive model is scaled to higher level with preservation of qualitative properties, and as a platform for integration the storage of data serves. Formally described by the level of integration corresponds to the construction of integrated information environment that combines unified storage of data with appendices of analytics.
Keywords: cognitive modeling, theory of knowledge, cognitive architecture, information environment, storage of data