PhD in Computing
Doctor of Philosophy [PhD]
| Level | Doctor of Philosophy [PhD] |
|---|---|
| Student | Dr Martin Fyvie |
| Status | Complete |
| Part Time | No |
| Years | 2020 - 2024 |
| Project Title | Explainability of Non-Deterministic Solvers |
| Project Description | Explainable AI is a well-established concept, but research success in the area has mainly focused on methods that mimic human reasoning, making the path to solution readily understood by end-users. In non-deterministic solvers, the path to solution is driven by random processes that accumulate problem learning as they solve, as opposed to deduction from prior knowledge or experience. A technical description of these processes, while in some sense explanatory, is hard for non-experts to comprehend. The research challenge that ENDS will address is how to derive human-understandable knowledge about the problem from the non-deterministic solution process and translate that into an explanatory form for end-users. |
| Awarding Institution | Robert Gordon University |
| Director of Studies | John McCall |
| Second Supervisor | Lee Christie |
| Additional Supervisor | Ciprian Zavoianu |
| Thesis | Explainability of non-deterministic solvers: explanatory feature generation from the data mining of the search trajectories of population-based metaheuristics. |