Nathan Sorenson graduated as a master’s student at the School of Interactive Arts and Technology. With a background in mathematics and computer science, he is interested in the application of computational intelligence to problems that typically demand human creativity. His research is on formal models of fun (using computational creativity) in video games and automated level design.
Position: Masters Researcher
Adaptation of an Autonomous Creative Evolutionary System for Real-World Design Application Based on Creative Cognition
Conference Proceedings: Fourth International Conference on Computational Creativity, 2013