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Creators/Authors contains: "Shirvani, Alireza"

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  1. ; ; (, Proceedings of the 14th AAAI International Conference on Artificial Intelligence and Interactive Digital Entertainment)
    In this paper we present two studies supporting a plan-based model of narrative generation that reasons about both intentionality and belief. First we compare the believability of agent plans taken from the spaces of valid classical plans, intentional plans, and belief plans. We show that the plans that make the most sense to humans are those in the overlapping regions of the intentionality and belief spaces. Second, we validate the model’s approach to representing anticipation, where characters form plans that involve actions they expect other characters to take. Using a short interactive scenario we demonstrate that players not only find it believable when NPCs anticipate their actions, but sometimes actively anticipate the actions of NPCs in a way that is consistent with the model. 
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    Accepted Manuscript Full Text Available
  2. ; ; (, Artificial Intelligence and Interactive Digital Entertainment)
    What characters believe, how they act based on those beliefs, and how their beliefs are updated is an essential element of many stories. State-space narrative planning algorithms treat their search spaces like a set of temporally possible worlds. We present an extension that models character beliefs as epistemically possible worlds and describe how such a space is generated.We also present the results of an experiment which demonstrates that the model meets the expectations of a human audience. 
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    Accepted Manuscript Full Text Available