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Complex Norm Synthesis via Deep Learning


Project Description

This project will investigate how agents operating as part of a group should learn behaviours that benefit the group as a whole. These behaviours are commonly referred to as norms, and describe obligations, permissions and prohibitions on actions in specific contexts.

Existing work on norm synthesis is primarily symbolic, and this project will investigate whether more complex norms can be synthesised than existing approaches, and how well deep reinforcement learning techniques perform to synthesise norms.

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.

APPLICATION PROCEDURE:

• 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 (@abdn.ac.uk) 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.

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