We describe how autonomous character agents that inhabit a story world can make (out-of-character) decisions about its details, filling in the story world as they go. We describe how we model these kind of late commitment decisions, and discuss how we use them to support action selection and to justify the adoption of character goals. Although a rigorous evaluation remains future work, we have implemented the approach presented here and have performed some exploratory testing.

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Emergent narrative is an approach to interactive storytelling in which stories result from local interactions of autonomous characters. We describe a technique for emergent narrative that enables the characters to fill in the story world during the simulation when this is useful for the developing story.