Research output per year
Research output per year
Organisation profile
Organisation profile
The Reasoning and Planning (RAP) group focuses on the fundamental Artificial Intelligence challenge of creating, representing and reasoning with expressive models of the world, with particular strengths in dealing with complex systems and in reasoning with information that is uncertain, incomplete or subjective. Research within the RAP group considers both individual and multi-entity reasoning and planning, which may involve humans as well as AI systems.
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Dive into the research topics where Reasoning and Planning is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Elizabeth Black
- Trusted Autonomous Systems Hub
- Informatics - Reader in Artificial Intelligence
- Reasoning and Planning
Person: Member, Academic
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Oana Cocarascu
- Informatics - Lecturer in Artificial Intelligence
- Planning
- Reasoning and Planning
Person: Member, Academic
Research output
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A Survey of Evaluation Methods and Metrics for Explanations in Human–Robot Interaction (HRI)
Wachowiak, L., Celiktutan, O., Coles, A. & Canal, G., 9 May 2023, Explainable Robotics Workshop at IEEE International Conference on Robotics and Automation (ICRA) 2023. 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile -
Finding Sparse Initialisations using Neuroevolutionary Ticket Search (NeTS)
Jackson, A., Schoots, N., Ahantab, A., Luck, M. & Black, E., 1 May 2023, (Accepted/In press) 2023 Conference on Artificial Life. MIT Press, 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile -
Neuroevolution Ticket Search — Finding Sparse, Trainable DNN Initialisations
Jackson, A., Schoots, N., Luck, M. & Black, E., 3 Mar 2023, (Accepted/In press) 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 AccessFile
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Deployment of Expressive Continuous Numeric Planners in Large Scale Applications
EPSRC Engineering and Physical Sciences Research Council
1/02/2019 → 31/01/2020
Project: Research
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Student theses
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From Pattern Databases to Plan Libraries: Utilising Memory-based Methods for Improving AI Planning Performance
Author: Moraru, I., 1 Mar 2023Supervisor: Magazzeni, D. (Supervisor), Coles, A. (Supervisor), McBurney, P. (Supervisor) & Edelkamp, S. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy
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Learning How to Defeat Arguments Using Data-Driven Neural Argumentation Networks
Author: Mumford, J., 1 Jul 2022Supervisor: Parsons, S. (Supervisor), Black, E. (Supervisor) & Sassoon, I. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy
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Personalising Medication & Activity Regimes Using Novel State Progression Models for Forward Search with PDDL+
Author: Alaboud, F., 1 Jul 2022Supervisor: Coles, A. (Supervisor), Modgil, S. (Supervisor) & Zschaler, S. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy
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