The novelty research is primary a cybernetic investigation. Learning what is emerging is in the first place cybernetic paradigm of self-organization. The key concepts is bootstrapping, complexity, and agents. The solution is a system approach to learning. The central model is the novelty-model. By our early Artificial Intelligence research a design was created that looked similar to two other analyzers found later in different domains. So the novelty model was discovered and raised a question: if three independent investigations in different domains came up with a similar feedback mechanisms, can this still be a coincident? (see EMCR paper 2008). In the PhD I demonstrate in total five implementation of the novelty model in different domains. Each domain came to the model by its own means, so some variation exist, which I explain and show that it is indeed the same cybernetic system. From the five models found, one is an exceptional case that has no relation to innovation is the case of sailing against the wind. The case is very important as it can show the dynamics of novelty regulation striped from any constructive feature once information gets involved. The other four novelty models all address a dimension of innovation, being: knowledge creation, environmental enrichment of the social fabric, the ability of organizations to transform the social fabric and the agile development by design principles. The four novelty models combined create a hyper model that is capable to describe radical innovation.