A generic approach for obtaining higher entertainment in predator/prey computer games

Abstract

This paper constitutes a sequel to our previous work focused on investigating cooperative behaviors, adaptive learning and on-line interaction towards the generation of entertainment in computer games. A human-verified metric of interest (i.e.

player entertainment) of predator/prey games and a neuro- evolution on-line learning (i.e. during play) approach are used to

serve this purpose. Experiments presented here demonstrate the generality of the proposed approach, in its ability to overcome the difficulties of learning in real-time and generate interesting predator/prey games, over game type, complexity, topology, initial opponent behavior and player type.