Comme il Faut: A System for Authoring Playable Social Models

Authors

  • Joshua McCoy University of California, Santa Cruz
  • Mike Treanor University of California, Santa Cruz
  • Ben Samuel University of California, Santa Cruz
  • Noah Wardrip-Fruin University of California, Santa Cruz
  • Michael Mateas University of California, Santa Cruz

DOI:

https://doi.org/10.1609/aiide.v7i1.12454

Keywords:

Game AI, Dramaturgical Analysis, Social AI

Abstract

Authoring interactive stories where the player is afforded a wide range of social interactions results in a very large space of possible social and story situations. The amount of effort required to individually author for each of these circumstances can quickly become intractable. The social AI system Comme il Faut (CiF) aims to reduce the burden on the author by providing a playable model of social interaction where the author provides reusable and recombinable representations of social norms and social interactions. Motivated through examples from an in-development video game, Prom Week, this paper provides a detailed description of the structures with which CiF represents social knowledge and how this knowledge is employed to simulate social interactions between characters.

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Published

2011-10-09

How to Cite

McCoy, J., Treanor, M., Samuel, B., Wardrip-Fruin, N., & Mateas, M. (2011). Comme il Faut: A System for Authoring Playable Social Models. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 7(1), 158-163. https://doi.org/10.1609/aiide.v7i1.12454