Experiments in Automated Generation of Games

Electronic, video and computer games have captured the interest of younger generation during the past years and have become the primary source of relaxation and fun for many. The public demand for choices in computer games has increased and there is a need to automate the process of game development. In this book we introduce a methodology for automated generation of entertaining games. The genres we address are board based games and video games. We use evolutionary algorithms to generate new and entertaining games using our proposed entertainment metrics as the fitness function.

Autorentext

Zahid Halim (PhD-Computer Science) and A. Rauf Baig (PhD-Computer Science) are Asst. Prof. and Prof. at National University of Computer and Emerging Sciences, Islamabad. Their research interests include computational intelligence in games, improving replay value of games using computational intelligence based techniques and data mining.