Evolutionary Music Composition for Digital Games Using Regent-Dependent Creativity Metric

In recent years, the Computational Creativity field has been boosted significantly through researches in human abilities related themes, especially artistic abilities. One of the greatest challenges in working on this field is that the created artifacts are hard to evaluate. In this work is presented a creative music compositor for digital games that explores combinational and explorational creativity. The method is based on Genetic Algorithm and uses the Regent-Dependent Creativity metric to evaluate the generated artifacts. The results demonstrate that some melodies generated by the system are considered creative also by human evaluators.