Glaive: A state-space narrative planner supporting intentionality and conflict

Stephen G. Ware, R. Michael Young

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

76 Citations (SciVal)

Abstract

Glaive is a state-space planner based on Hoffmann and Nebel's Fast-Forward (2011) which solves the narrative planning problem defined by Riedl and Young (2010)- to construct a plan which achieves the author's goals out of steps which are clearly motivated and goaloriented toward individual character goals. Glaive reasons about how characters cooperate and conflict based on causal structures and possible worlds. By leveraging the unique constraints of narrative planning, Glaive reduces its branching factor and calculates a more accurate heuristic. We evaluate it on 8 narrative planning problems and demonstrate that it can solve certain nontrivial problems in under 1 second.

Original languageEnglish
Title of host publicationProceedings of the 10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2014
Pages80-86
Number of pages7
ISBN (Electronic)9781577356813
StatePublished - 2014
Event10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2014 - Raleigh, United States
Duration: Oct 3 2014Oct 7 2014

Publication series

NameProceedings of the 10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2014

Conference

Conference10th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2014
Country/TerritoryUnited States
CityRaleigh
Period10/3/1410/7/14

Bibliographical note

Publisher Copyright:
Copyright © 2014, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

ASJC Scopus subject areas

  • Artificial Intelligence
  • Visual Arts and Performing Arts

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