Dilemma scenarios and knowledge of social values support engaging and believable narrative gameplay. Previous work in dilemma generation has explored scenarios involving utility payoffs between two to three people. However, these models primarily require character relationships as preconditions, and do not extend to more complex choices that relate only to causes and values. This paper builds upon past work to create an expressive model of dilemma categorization for player and non-player characters.
CITATION STYLE
Harmon, S. (2016). An Expressive Dilemma Generation Model for Players and Artificial Agents. In Proceedings - AAAI Artificial Intelligence and Interactive Digital Entertainment Conference, AIIDE (pp. 176–182). Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aiide.v12i1.12879
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