Story similarity measures for drama management with ttd-mdps
Joshua K. Jones, Charles Lee Isbell · 2014
In interactive drama, whether for entertainment or train-ing purposes, there is a need to balance the enforcement of authorial intent with player autonomy. A promising ap-proach to this problem is the incorporation of an intelligent Drama Manager (DM) into the simulated environment. The DM can intervene in the story as it progresses in order to (more or less gently) guide the player in an appropriate di-rection. Framing drama management as the selection of an optimal probabilistic policy in a Targeted Trajectory Dis-tribution Markov Decision Process (TTD-MDP) describing the simulation has been shown to be an effective technique for drama management with a focus on replayability. One of the challenges of drama management is providing a means for the author to express desired story outcomes. In the