Dear leader's happy story time: A party game based on automated story generation

Ian D Horswill*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Players in Dear Leader's Happy Story Time are placed in the role of contestants in a reality TV show where they are forced to audition for roles in the upcoming film of the host, a deranged billionaire who has inexplicably been elected president. The stories are produced by a story generator that combines stock plots and characters to produce kitsch story outlines. The players then collaborate to improvise a camp performance of the outline. The game design provides a context for experimenting with automatic story generation within a narrative game, as well as an opportunity for experimenting with knowledge representation schemes for expressing the tropes of popular narrative. The story generator uses a higher-order logic for describing tropes, and an HTN planning algorithm based on Nau et al.'s SHOP.

Original languageEnglish (US)
Title of host publicationWS-16-21
Subtitle of host publicationArtificial Intelligence in Adversarial Games; WS-16-22: Experimental AI in Games; WS-16-23: Player Analytics
PublisherAI Access Foundation
Pages39-45
Number of pages7
ISBN (Electronic)9781577357735
StatePublished - Jan 1 2016
Event12th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2016 - Burlingame, United States
Duration: Oct 8 2016Oct 9 2016

Publication series

NameAAAI Workshop - Technical Report
VolumeWS-16-21 - WS-16-23

Other

Other12th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2016
CountryUnited States
CityBurlingame
Period10/8/1610/9/16

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Horswill, I. D. (2016). Dear leader's happy story time: A party game based on automated story generation. In WS-16-21: Artificial Intelligence in Adversarial Games; WS-16-22: Experimental AI in Games; WS-16-23: Player Analytics (pp. 39-45). (AAAI Workshop - Technical Report; Vol. WS-16-21 - WS-16-23). AI Access Foundation.