Research output per year
Research output per year
Personal profile
Biographical details
PhD student in the UKRI CDT in Safe and Trusted AI.
Research interests
A broad subset of artificial intelligence: including formal logic and argumentation, agents and multi-agent systems, deep learning, and machine ethics.
Research interests (short)
Formal Logic and Argumentation • Agents & Multi-Agent Systems • Deep Learning • Machine Ethics
Education/Academic qualification
Computer Science, Bachelor of Science, King's College London
1 Sept 2015 → 31 Aug 2019
Award Date: 31 Aug 2019
Keywords
- BC Logic
- Formal Logic
- Argumentation
- QA75 Electronic computers. Computer science
- Theoretical Computer Science
- Deep Learning
- Applied Logic
- BJ Ethics
- Moral Philosophy
- Ethical Theory
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Research output
- 3 Conference paper
-
Modelling Moral Debate using Reason-based Abstract Argumentation Theory
Jackson, A., Luck, M. & Black, E., 15 Dec 2023, 37th International Conference on Neural Information Processing Systems (NeurIPS 2023): Workshop on AI meets Moral Philosophy and Moral Psychology. 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile181 Downloads (Pure) -
Finding Sparse Initialisations using Neuroevolutionary Ticket Search (NeTS)
Jackson, A., Schoots, N., Ahantab, A., Luck, M. & Black, E., 24 Jul 2023, 2023 Conference on Artificial Life. MIT Press, 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile62 Downloads (Pure) -
Neuroevolutionary Ticket Search — Finding Sparse, Trainable DNN Initialisations
Jackson, A., Schoots, N., Luck, M. & Black, E., 5 May 2023, International Conference on Learning Representations 2023: Workshop on Sparsity in Neural Networks. 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile62 Downloads (Pure)