I am currently doing research under Risto Miikkulainen of the
Neural Networks Research Group on the application
of neuroevolution to board games, specifically Othello/Reversi.
I'm currently preparing entries for the CEC 2007 Othello Competition.
In my experiments, I'm using the Enforced
Sub-Populations neuroevolution algorithm originally designed by Faustino Gomez. I've also started researching ways to drive evolution via human interaction, particularly in the domain of games. By interacting directly with an evolving population, a human agent's actions in an artificial world can serve as a fitness function. This can lead to games where the opponents tailor themselves to the human player, making the game more fun. This work makes use of the simulation environment BREVE.
