Motivations

Creativity and Intelligence are both terms that have been deeply studied for centuries but still generate debates. Scholars frequently relate both terms, establishing connections that allows to understand the relationship between general intelligence and creativity. Both are considered required for addressing challenging problems, and also for creating art or appealing designs. Music, Literature, Architecture, Painting, Crafts, Industrial Design,... all could benefit from a better understanding and conceptualization of the processes behind Creativity and Intelligence. Although computers have exceeded the capabilities of humans in a number of limited domains, human creativity generally remains unchallenged, and only recently some techniques, such as Computational Intelligence, have begun to address problems related to creativity. Computational Intelligence (CI) is a term that embodies a number of nature-inspired techniques. CI includes Evolutionary Computation, Neural Networks, Fuzzy logic Systems and other techniques derived from them, such as Swarm Optimization, Artificial Immune Systems, Ant Colony Optimization to name but a few. CI is routinely applied nowadays to solving complex real life problems. Despite the great variety of methods and applications, only very recently, researchers have considered the capabilities of CI when applied to creative processes. Nevertheless, the finding of a general model for creativity and its relationship with Intelligence is far to be found.