Thesis supervisor: Viktor Dörfler
Location of studies (in Hungarian): Széchenyi István University Abbreviation of location of studies: SZE
Description of the research topic:
We suggest adopting a transdisciplinary approach for understanding the process of searching for available and useful meta-knowledge. We expect following Popper’s tentative process of problem solving for exploring the role and usefulness of machine learning algorithms in validating new knowledge for consistency, relevance and applicability.
Required language skills: English Number of students who can be accepted: 2