Causal link semantics for narrative planning using numeric fluents

Rachelyn Farrell, Stephen G. Ware

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

Abstract

Narrative planners would be able to represent richer, more realistic story domains if they could use numeric variables for certain properties of objects, such as money, age, temperature, etc. Modern state-space narrative planners make use of causal links—structures that represent causal dependencies between actions—but there is no established model of a causal link that applies to actions with numeric preconditions and effects. In order to develop a semantic definition for causal links that handles numeric fluents and is consistent with the human understanding of causality, we designed and conducted a user study to highlight how humans perceive enablement when dealing with money. Based on our evaluation, we present a causal semantics for intentional planning with numeric fluents, as well as an algorithm for generating the set of causal links identified by our model from a narrative plan.

Original languageEnglish
Title of host publicationProceedings of the 13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2017
Pages193-199
Number of pages7
ISBN (Electronic)9781577357919
StatePublished - 2017
Event13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2017 - Snowbird, Little Cottonwood Canyon, United States
Duration: Oct 5 2017Oct 9 2017

Publication series

NameProceedings of the 13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2017

Conference

Conference13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2017
Country/TerritoryUnited States
CitySnowbird, Little Cottonwood Canyon
Period10/5/1710/9/17

Bibliographical note

Funding Information:
This research was supported by NSF award IIS-1464127.

Publisher Copyright:
Copyright © 2017, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

ASJC Scopus subject areas

  • Visual Arts and Performing Arts
  • Artificial Intelligence

Fingerprint

Dive into the research topics of 'Causal link semantics for narrative planning using numeric fluents'. Together they form a unique fingerprint.

Cite this