Adversarial goal recognition and ambiguous policies

About the Project

These projects are open to students worldwide, but have no funding attached. Therefore, the successful applicant will be expected to fund tuition fees at the relevant level (home or international) and any applicable additional research costs. Please consider this before applying.

Adversarial scenarios (such as games) offer unique challenges where understanding and predicting opponent moves can be critical. In this project, we delve into goal recognition techniques to discern the strategic objectives of adversaries within such environments. We aim to build goal recognition approaches that either rely on data (machine learning approaches), symbolic descriptions (goal recognition as planning), or a combination of both (neuro-symbolic approaches).

This project aims to create strategies to cope with observations and predictions of other agents, developing strategies that take ambiguity into account.

Informal enquiries can be made by contacting Dr L Amado (leonardo.amado@abdn.ac.uk)

Decisions will be based on academic merit. The successful applicant should have, or expect to obtain, a UK Honours Degree at 2.1 (or equivalent) in Computing Science. Essential experience: Python, Understanding MDPs

Please read the publications detailed in references section

We encourage applications from all backgrounds and communities, and are committed to having a diverse, inclusive team.

Application Procedure:

Formal applications can be completed online: https://www.abdn.ac.uk/pgap/login.php.

You should apply for Degree of Doctor of Philosophy in Computing Science to ensure your application is passed to the correct team for processing.

Please clearly note the name of the lead supervisor and project titleon the application form. If you do not include these details, it may not be considered for the project.

Your application must include: A personal statement, an up-to-date copy of your academic CV, and clear copies of your educational certificates and transcripts.

Please note: you do not need to provide a research proposal with this application.

If you require any additional assistance in submitting your application or have any queries about the application process, please don't hesitate to contact us at researchadmissions@abdn.ac.uk

Funding Notes

This is a self-funding project open to students worldwide. Our typical start dates for this programme are February or October.

Fees for this programme can be found here Finance and Funding | Study Here | The University of Aberdeen

References

A Survey on Goal Recognition as Planning (IJCAI)
Robust Neuro-Symbolic Goal and Plan Recognition. Proceedings of the AAAI Conference on Artificial Intelligence