Damien Anderson
Artificial Intelligence and Games Researcher
Damien.anderson(at)protonmail.com
Artificial Intelligence and Games Researcher
Damien.anderson(at)protonmail.com
There are a number of fields of which I am interested in with regards to research. First and foremost is my own specialist area of General Video Game Playing (GVGP) which looks at developing AI which can solve unknown problems.
Gamification is another area of interest for me. Improving education is something I have been passionate about for a long time, and I feel that applying elements of gameplay to our educational systems would have enormously beneficial effects. Primarily the shifting away from breaking down a student's grade to building it up.
There are other areas of which I am interested, however I wanted to focus on the areas that I currently pursue in some capacity, as I could write forever of the things that I am just interested in!
Thanks for asking!
GVGP is a field of research which used video games as an experimentation platform. The goal is to develop AI which can reason about a given problem and come up with a solution, without knowing anything about the problem beforehand.
This is cool because currently AI focuses on solving problems that we can already solve. We design an AI to play Chess, or Go, or to tidy the room. We give it the advantage of our knowledge on how to accomplish the goal, but what if we don't know how to solve it either? Or we do know how to solve it, but we want a new approach to solving it?
GVGP provides a platform with a diverse range of problems, video games, and the anonymity required to make the problems truly unknown. And this is utterly fascinating to me!
Matthew Stephenson, Damien Anderson, Ahmed Khalifa, John Levine, Jochen Renz, Julian Togelius, Christoph Salge: A continuous information gain measure to find the most discriminatory problems for ai benchmarking
Mateusz Dubiel, Martin Halvey, Leif Azzopardi, Damien Anderson, Sylvain Daronnat: Conversational strategies: impact on search performance in a goal-oriented task
Philip Bontrager, Ahmed Khalifa, Damien Anderson, Matthew Stephenson, Christoph Salge, Julian Togelius: " Superstition" in the Network: Deep Reinforcement Learning Plays Deceptive Games
Damien Anderson, Cristina Guerrero-Romero, Diego Perez-Liebana, Philip Rodgers, John Levine: Ensemble Decision Systems for General Video Game Playing
Philip Rodgers, John Levine, Damien Anderson: Ensemble Decision Making in Real-Time Games
Damien Anderson, Matthew Stephenson, Julian Togelius, Christian Salge, John Levine, Jochen Renz: Deceptive Games
D. Anderson, M. Audrain, Z. Charifoulline, M. Dragu, K. Fuchsberger, J.C. Garnier, A.A. Gorzawski, M. Koza, K. Krol, S. Rowan, K. Stamos, M. Zerlauth Testing Quality and Metrics for the LHC Magnet Powering System throughout Past and Future Commissioning
M Audrain, R Gorbonosov, J Suchowski, M Zerlauth, JC Garnier, PC Turcu, A Jalal, K Stamos, AA Gorzawski, K Fuchsberger, D Anderson Using a Java Embedded DSL for LHC Test Analysis
D. Anderson, M. Audrain, M. Dragu, K. Fuchsberger, J.C. Garnier, A.A. Gorzawski, M. Koza, K. Krol, K. Misiowiec, K. Stamos, M. Zerlauth Reliable Software Development for Machine Protection Systems
M Audrain, M Zerlauth, JC Garnier, M Koza, M Dragu, B Puccio, K Stamos, A Moscatelli, K Krol, K Fuchsberger, D Anderson, AA Gorzawski Supervision Software for the Integration of the Beam Interlock System with the CERN Accelerator Complex
D Anderson, M Audrain, K Fuchsberger, JC Garnier, R Gorbonosov, AA Gorzawski, A Jalal, A Moscatelli, PC Turcu, K Stamos, M Zerlauth The AccTesting Framework: an extensible framework for accelerator commissioning and systematic testing