Revisiting Character-Based Affective Storytelling under a Narrative BDI Framework

  • Federico Peinado
  • Marc Cavazza
  • David Pizzi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5334)

Abstract

Belief-Desire-Intention (BDI) is a well-known cognitive theory, especially in the field of Software Agents. Modelling characters using software agents has been proven to be a suitable approach for obtaining emergent and autonomous behaviours in Interactive Storytelling. In this paper it is claimed that an effective extension of previous models to the BDI framework is useful for designing intelligent characters. An example shows how internal thoughts and motivations of Madame Bovary’s main characters can be more naturally formalised as a cognitive side of the story. A narrative reformulation of BDI theory is needed to avoid the implicit complexity of other proposals.

Keywords

Story Generation Software Agents Artificial Intelligence 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Federico Peinado
    • 1
  • Marc Cavazza
    • 2
  • David Pizzi
    • 2
  1. 1.Facultad de InformáticaUniversidad Complutense de MadridSpain
  2. 2.School of ComputingUniversity of TeessideUnited Kingdom

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