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Explainable Autonomous AI Systems

Project Description

This project will investigate how the decisions made by an AI system operating as part of a group can be explained. Such decisions could be based on theories and approaches ranging from machine learning, to automated planning, to game theory, and must consider not only the system’s goals, but also the behaviours of others in the system and the beliefs ascribed to them.

Initial techniques to be used within the project will include formal argumentation and dialogue theory, building on existing approaches to (single agent) explanation such as [1].

Candidates should have (or expect to achieve) a UK honours degree at 2.1 or above (or equivalent) in Computer Science, maths, or a similar subject.

Some knowledge of artificial intelligence techniques would be beneficial.


• Apply for Degree of Doctor of Philosophy in Computing Science
• State name of the lead supervisor as the Name of Proposed Supervisor
• State ‘Self-funded’ as Intended Source of Funding
• State the exact project title on the application form

When applying please ensure all required documents are attached:

• All degree certificates and transcripts (Undergraduate AND Postgraduate MSc-officially translated into English where necessary)
• Detailed CV
• Details of 2 academic referees

Informal inquiries can be made to Dr N Oren ( with a copy of your curriculum vitae and cover letter. All general enquiries should be directed to the Postgraduate Research School ()

Funding Notes

This project is advertised in relation to the research areas of the discipline of Computing Science. The successful applicant will be expected to provide the funding for Tuition fees, living expenses and maintenance. Details of the cost of study can be found by visiting View Website. THERE IS NO FUNDING ATTACHED TO THESE PROJECTS.


Scrutable plan enactment via argumentation and natural language generation
MW Caminada, R Kutlak, N Oren, WW Vasconcelos
Proceedings of the 2014 international conference on Autonomous agents and multi-agent systems

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