Creative Ecosystems [chapter]

Jon McCormack
2012 Computers and Creativity  
Traditional evolutionary approaches to computer creativity focus on optimisation, that is they define some criteria that allows the ranking of individuals in a population in terms of their suitability for a particular task. The problem for creative applications is that creativity is rarely thought of as a single optimisation. For example, could you come up with an algorithm for ranking music or painting? The difficulty is that these broad categories are shifting and subjective: I might argue
more » ... e: I might argue that Mozart is more musically creative than Lady Gaga, but others may disagree. Objective, fine-grained ranking of all possible music is impossible, even for humans. I will show how reconceptualising the exploration of a creative space using an "ecosystemic" approach can lead to more open and potentially creative possibilities. For explanatory purposes, I will use some successful examples that are simple enough to explain succinctly, yet still exhibit the features necessary to demonstrate the advantages of this approach.
doi:10.1007/978-3-642-31727-9_2 fatcat:dvnqemlzhvhjdg2jr42vw3ct7a