TopicsSome examples of work that would be appropriate for KEG include contextual query-answering in games where nonplayer characters (or visual cues in environment design) offer hints to solve problems; extracting architectural information from game level layouts; transfer learning, analogical reasoning, or goal reasoning within or between games or game levels; game-playing agents which can explain their own actions or policy in terms of the game’s rules; learning the rules of a game from observation, or learning higher-level rules or goals automatically; or determining a designer or player’s mental model of game rules, and whether that differs from the rules induced by the game’s implementation.We are especially keen to receive submissions from game designers or game critics on potentially mechanizable formalisms for knowledge representation and reasoning. We also welcome (especially in the short paper format) surveys or reframings of existing work in related fields reoriented towards (video) games.