From Debugging to Authoring: Adapting Productivity Tools to Narrative Content Description
ICIDS '08 Proceedings of the 1st Joint International Conference on Interactive Digital Storytelling: Interactive Storytelling
ICIDS '09 Proceedings of the 2nd Joint International Conference on Interactive Digital Storytelling: Interactive Storytelling
Wide ruled: a friendly interface to author-goal based story generation
ICVS'07 Proceedings of the 4th international conference on Virtual storytelling: using virtual reality technologies for storytelling
FearNot!: an emergent narrative approach to virtual dramas for anti-bullying education
ICVS'07 Proceedings of the 4th international conference on Virtual storytelling: using virtual reality technologies for storytelling
Feeling and reasoning: a computational model for emotional characters
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
Scribe: a tool for authoring event driven interactive drama
TIDSE'06 Proceedings of the Third international conference on Technologies for Interactive Digital Storytelling and Entertainment
Story characterization using interactive evolution in a multi-agent system
EvoMUSART'13 Proceedings of the Second international conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design
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ENIGMA is an experimental platform for collaborative authoring of the behaviour of autonomous virtual characters in interactive narrative applications. The main objective of this system is to overcome the bottleneck of knowledge acquisition that exists in generative storytelling systems through a combination of crowd-sourcing and machine learning. While the authoring front-end of the application is used to create short example stories set in a specific story domain, the server side of the application collects many of those stories and derives behaviour models for autonomous virtual characters such as formal planning operator descriptions from them. A mixed initiative mode increases coherence by feeding already learnt character behaviour back into the client.