Research Output
An Agent Based Technique for Improving Multi-Stakeholder Optimisation Problems
  We present an agent based framework for improving multi-stakeholder optimisation problems, which we define as optimisation problems where the solution is utilised by a number of stakeholders who have their own local preferences. We explore our ideas within the domain of the University Timetabling Problem, demonstrating how a solution created by traditional timetabling methods may be further improved from the perspective of individual stakeholders (students) by agent based methods. We also note that this approach lends itself to increasing the level of trust in such systems by potentially allowing the stakeholders to view the actions taken by agents on their behalf.

  • Date:

    26 June 2019

  • Publication Status:


  • Publisher


  • DOI:


  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    006.3 Artificial intelligence

  • Funders:

    Edinburgh Napier Funded


Urquhart, N., & Powers, S. T. (2019). An Agent Based Technique for Improving Multi-Stakeholder Optimisation Problems. In PAAMS 2019: Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection: vol 1 – Main track and Demos proceedings, 285-289.



Timetabling, optimisation, Real-World, explainability

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