MSc Data Science
Master of Science [MSc]
Status | Complete |
---|---|
Part Time | Yes |
Years | 2018 - 2020 |
MSc Data Science
Master of Science [MSc]
Status Complete Part Time Yes Years 2018 - 2020
PhD in Computing
Doctor of Philosophy [PhD]
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.
About OpenAIR@RGU
Administrator e-mail: publications@rgu.ac.uk
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Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
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CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
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