Master / Bachelor thesis: Visualisation of the knowledge base
Expert systems are programs, that can replicate expert knowledge and inference capabilities of qualified experts in specific application areas. They consist of a knowledge base and an inference engine.
Compared to AI methods, expert systems do not rely on the availability of a large amount of data and the reasoning behind the algorithms choice is evident.
Different implementations for the knowledge base exist. Among them are Petri nets, IF THEN rules or case studies and corresponding action recommendations. The code developed in this thesis shall be able to generate visualizations (i.e. variables of the case studies and their relations) that give insight into the composition of the knowledge base and explain choices. It can be used for various problems and knowledge base implementations.
Example: We know the influence of materials M1 to M3 to properties P1 to P3 and want to find the best (combination of) materials to get the desired properties. I.e. if high P1 is desired, M1 is chosen, because it has the biggest impact on P1.
Programming knowledge is required.
Keywords: expert systems, visualization
Betreuer: Hüsener
