Adaptive interaction in virtual worlds using evolutionary algorithms

In virtual worlds, artificial agents interact with human controlled clones. Our previous studies on the InVitram simulation model, where behaviors were described by PROLOG-like rules show the difficulty it is to tune these local behaviors to produce a coherent response to human inputs. In this article, we present a model for the automatic generation of virtual entities dealing with local and global control systems.