@inproceedings{brenner10aaai,
  author =	 {Michael Brenner},
  title =	 {Creating Dynamic Story Plots with Continual Multiagent
                  Planning},
  booktitle =	 {Proceedings of the Twenty-Fourth AAAI Conference on
                  Artificial Intelligence (AAAI)},
  note = 	 {Accepted},
  comment = 	 {Integrated Intelligence track},
  year =	 2010,
  month =	 {july},
  publisher =	 {AAAI Press},
  abstract =	 {An AI system that is to create a story (autonomously
                  or in interaction with human users) requires
                  capabilities from many subfields of AI in order to
                  create characters that themselves appear to act
                  intelligently and believably in a coherent story
                  world. Specifically, the system must be able to
                  reason about the physical actions and verbal
                  interactions of the characters as well as their
                  perceptions of the world. Furthermore it must make
                  the characters act believably--i.e. in a
                  goal-directed yet emotionally plausible
                  fashion. Finally, it must cope with (and embrace!)
                  the dynamics of a multiagent environment where
                  beliefs, sentiments, and goals may change during the
                  course of a story and where plans are thwarted,
                  adapted and dropped all the time.  In this paper, we
                  describe a representational and algorithmic
                  framework for modelling such dynamic story worlds,
                  Continual Multiagent Planning. It combines continual
                  planning (i.e. an integrated approach to planning
                  and execution) with a rich description language for
                  modelling epistemic and affective states, desires
                  and intentions, sensing and communication. Analysing
                  story examples generated by our implemented system
                  we show the benefits of such an integrated approach
                  for dynamic plot generation.  }
}