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Expressive Range Analysis of a Possible Worlds Driven Emergent Narrative System

  • Ben KybartasEmail author
  • Clark Verbrugge
  • Jonathan Lessard
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11318)

Abstract

Analyzing the potential and affordances of emergent narrative systems is an ongoing challenge, especially in novel or experimental systems. In this poster we explore the use of expressive range analysis (ERA) [1] to analyze an emergent system based upon the possible worlds model of Ryan [2]. We introduce the system and the properties of conflict that can be identified in a given work made in the system. The ERA analysis is performed by treating an emergent system as an exploration of a conflict space through actions. This paper serves as a foundation for deeper exploration of possible worlds narrative systems and quantifiable means for understanding them.

Keywords

Emergent narrative Possible worlds Expressive range analysis 

References

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Ben Kybartas
    • 1
    Email author
  • Clark Verbrugge
    • 1
  • Jonathan Lessard
    • 2
  1. 1.McGill UniversityMontrealCanada
  2. 2.Concordia UniversityMontrealCanada

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