Knowledge is a key phenomenon that combines such areas as the so-called artificial intelligence, cyber-physical systems, digital transformation or complex systems. These are also the areas that I deal with.

The combination of these areas is possible due to the high level of abstraction; this level simultaneously enforces the extension of the field of observation, which includes humanities, above all philosophy, e.g. epistemology or hermeneutics, as well as sciences such as the theory of mathematics or computer science. The high level of abstraction necessarily becomes a level that enables the aspiration to unify this reflection and create a universal research ground of interdisciplinary nature. Thanks to this approach, it becomes possible to create a knowledge model, for example based on the idea of discursive space. This idea, which is the basis for the creation of a theory of knowledge based on it, is the main area of my search.

Discursive space is a complex system consisting of discourses. It inherits the properties of complex systems such as nonlinearity or emergence. The discursive space can be described as a multidimensional dynamic space that can be represented using a parallel coordinate system. Discourses travel this space along trajectories that change over time. The idea of the discursive space can be extended on the one hand by establishing an infinite number of such spaces, on the other by extending the concept of discourse to any semantic system, not just language. Digital transformation, for example, can be treated on the one hand as an emergent effect of such spaces, on the other as a description of the specific composition of specific discursive spaces defining locally acceptable trajectories.

If you use my ideas, which I present here, quote my text, for example one of those below.