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Automated Extension of Narrative Planning Domains with Antonymic Operators

Porteous, Julie, Lindsay, Alan, Read, Jonathon, Truran, Mark, Cavazza, Marc (2015) Automated Extension of Narrative Planning Domains with Antonymic Operators. In: International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 4-8, 2015, Istanbul, Turkey. (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:55513)

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AI Planning has been widely used for narrative generation and the control of virtual actors in interactive storytelling. Planning models for such dynamic environments must include alternative actions which enable deviation away from a baseline storyline in order to generate multiple story variants and to be able to respond to

changes that might be made to the story world. However, the actual creation of these domain models has been a largely empirical process with a lack of principled approaches to the definition of alternative actions. Our work has addressed this problem and in the paper we present a novel automated method for the generation of interactive narrative domain models from existing non-interactive versions. Central to this is the use of actions that are contrary to those forming the baseline plot within a principled mechanism for their semi-automatic production. It is important that such newly

created domain content should still be human-readable and to this end labels for new actions and predicates are generated automatically using antonyms selected from a range of on-line lexical resources. Our approach is fully implemented in a prototype system

and its potential demonstrated via both formal experimental evalu-

ation and user evaluation of the generated action labels.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: Virtual Agents; Interactive Storytelling; Narrative Modelling; Planning
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.575 Multimedia systems
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76.E95 Expert Systems (Intelligent Knowledge Based Systems)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Marc Cavazza
Date Deposited: 18 May 2016 13:51 UTC
Last Modified: 17 Aug 2022 11:00 UTC
Resource URI: (The current URI for this page, for reference purposes)

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