Comme il Faut 2: a fully realized model for socially-oriented gameplay

  • Authors:

  • Josh McCoy;Mike Treanor;Ben Samuel;Brandon Tearse;Michael Mateas;Noah Wardrip-Fruin

  • Affiliations:

  • University of California, Santa Cruz, CA;University of California, Santa Cruz, CA;University of California, Santa Cruz, CA;University of California, Santa Cruz, CA;University of California, Santa Cruz, CA;University of California, Santa Cruz, CA

  • Venue:
  • Proceedings of the Intelligent Narrative Technologies III Workshop
  • Year:
  • 2010

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Abstract

Social games---common patterns of character interactions that modify the social environment of the story world---provide a useful abstraction when authoring a story composed of interactive characters, making it possible to create games with deep possibility spaces that are about social interaction (which would be intractable if hand-authoring all the options). In this paper, we detail the workings of a major new version of our social artificial intelligence system, Comme il Faut, that enables social game play in interactive media experiences. The workings of Comme il Faut 2 are shown, with running examples, from both knowledge representation and process perspectives. Finally, the paper concludes with a plan for evaluating and demonstrating Comme il Faut 2 through an implementation of an interactive media experience that consists of a playable social space.