Nathan Sorenson

Nathan Sorenson

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
pp 40-47

S. DiPaola, G. McCaig, K. Carlson, S. Salevati, N. Sorenson

Sydney, Australia

A Generic Approach to Challenge Modeling for the Procedural Creation of Video Game Levels
Journal Article: Transactions on Computational Intelligence and AI in Games, 2011
Vol 3, No 3, pp 229-244

N. Sorenson, P. Pasquier, S. DiPaola


Cartesian Genetic Programming, Creativity and Art
Book Chapter: Cartesian Genetic Programming, 2010
Editor: Miller J, 22 pages, in press

S. DiPaola, N. Sorenson