Idea by
Karolína Kotnour
Call for ideas 2019
Sound Shape Space
Sound Shape Space
- New alliances
The project introduces an architecture that represents a constructed expression of mental space and imaginative insight. The fundamental needs and motivations of human are determined by physiological possibilities and biological and psychological conditions and the habitat. The same motivation takes human to continuously transform the space of the natural environment into the artificial (technological) environment. The architecture is understood as a dynamic organism that is driven by the creation of humans needs caused by the lack of instinctive adaptability to the dynamic environment. Architecture work with physical and virtual materials where virtual material is information in large databases. Machine learning algorithms reveal patterns in natural processes and human behaviours and are incomparably more effective in their meaningful application and immediate recomputing of applied and proven knowledge, self-encoding architecture for a complex synthesis of dynamic environments.
Sound Shape Space
Sound Shape Space
- New alliances
The project introduces an architecture that represents a constructed expression of mental space and imaginative insight. The fundamental needs and motivations of human are determined by physiological possibilities and biological and psychological conditions and the habitat. The same motivation takes human to continuously transform the space of the natural environment into the artificial (technological) environment. The architecture is understood as a dynamic organism that is driven by the creation of humans needs caused by the lack of instinctive adaptability to the dynamic environment. Architecture work with physical and virtual materials where virtual material is information in large databases. Machine learning algorithms reveal patterns in natural processes and human behaviours and are incomparably more effective in their meaningful application and immediate recomputing of applied and proven knowledge, self-encoding architecture for a complex synthesis of dynamic environments.