Personal profile

Personal Statement

I have been a student at the University of Strathclyde's CIS department since 2011 as an Undergraduate and during my PhD. I am now working as a full-time researcher with the CIS department on Autonomous Systems, in collaboration with Rakuten and other partners.

My research interests lie in the areas of Video Games, AI, Autonomous Systems, Gamification, General Video Game Playing and many more. 

Video Games offer a fantastic research platform from which innovations in other fields can be implemented. The wide variety of environments and perspectives available provides AI researchers with a plethora of options for experimentation. It is my hope that the research that I conduct can be used to make the lives of people easier, freeing up their time to do more of what they want.

I am an advocate for improving education through the use of games, and game like mechanisms, through a process known as Gamification where education takes on many common aspects of games. The goal of this process is to make education less of a chore and more of a rewarding and enrichening experience that can be taken on by anyone. The guiding philosophy is to focus and reward the process of building up a person's knowledge, and building up more of a resistance to failure. Video Games offer the ability to restart any challenge, which may be helpful in teaching people to be more resilient in their day to day lives. Failure is often the first step to success.

 

Education/Academic qualification

Doctor of Philosophy, General Video Game Playing using Ensemble Decision Systems, University Of Strathclyde

Award Date: 28 Jul 2020

Bachelor of Science, Software Engineering, University Of Strathclyde

Sept 2011Jul 2015

Award Date: 6 Jul 2015

Keywords

  • Artificial Intelligence
  • AI techniques
  • GVGP
  • Video Games
  • Autonomous Systems

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Collaborations and top research areas from the last five years

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  • Towards evolution-based autonomy in large-scale systems

    Anderson, D., Harvey, P., Kaneta, Y., Papadopoulos, P., Rodgers, P. & Roper, M., 9 Jul 2022, GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference. New York, p. 1924–1925 2 p. (GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution book

    Open Access
    File
    1 Citation (Scopus)
    27 Downloads (Pure)
  • A continuous information gain measure to find the most discriminatory problems for AI benchmarking

    Stephenson, M., Anderson, D., Khalifa, A., Levine, J., Renz, J., Togelius, J. & Salge, C., 3 Sept 2020, 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. Piscataway, N.J.: IEEE, 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution book

    Open Access
    File
    6 Citations (Scopus)
    18 Downloads (Pure)