Conceptual Game Expansion
  Automated game design is the problem of automatically producing games through
computational processes. Traditionally, these methods have relied on the
authoring of search spaces by a designer, defining the space of all possible
games for the system to author. In this paper, we instead learn representations
of existing games from gameplay video and use these to approximate a search
space of novel games. In a human subject study we demonstrate that these novel
games are indistinguishable from human games in terms of challenge, and that
one of the novel games was equivalent to one of the human games in terms of
fun, frustration, and likeability.
