A belief-desire-intention model for narrative generation

Theo Wadsley, Malcolm Ryan

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

1 Citation (Scopus)

Abstract

Narrative AI needs to model more than just action. In this paper, we investigate the Belief-Desire-Intention (BDI) agent architecture to allow plots to be modelled in terms of character motivation. This allows authors to focus on elements of the character model which are highly relevant to plot. We describe an extended implementation of the ConGolog agent programming language which includes BDI syntax and semantics. Using this language, we provide an example of how plot could be advantageously modelled in terms of character motivation.

Original languageEnglish
Title of host publicationIntelligent Narrative Technologies - Papers from the 2013 AIIDE Workshop, Technical Report
Place of PublicationQuébec, Canada
PublisherAI Access Foundation
Pages105-108
Number of pages4
VolumeWS-13-21
ISBN (Print)9781577356363
Publication statusPublished - 2013
Externally publishedYes
Event9th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2013 Workshop - Boston, MA, United States
Duration: 14 Oct 201315 Oct 2013

Other

Other9th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2013 Workshop
Country/TerritoryUnited States
CityBoston, MA
Period14/10/1315/10/13

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