We conclude with an overview of the concept of creativity and how it must be a process, like any other, that can be mechanized. The advantages of being able to do so are clear as advancements in virtually every field should follow, unhindered by the slow and often clouded thinking of humans. The DSNS approach proposed is just such a process that is, in principle, both scalable and applicable in other domains. However, much more testing is required before any grandoise claims of its usefulness can be made, despite whatever has already been demonstrated in the domain of chess problem or puzzle composition. In conjuction with other technologies, such as robotics, the DSNS could also be a real-time component in sentient or semi-sentient androids, enabling them to come up with new ideas and suggestions that could benefit humans. Given the scale of problems facing humanity today (e.g. environment, medicine), computational creativity may be our only hope of survival into the distant future.