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ICIDS
2010
Springer

Crowd-Sourced AI Authoring with ENIGMA

8 years 2 months ago
Crowd-Sourced AI Authoring with ENIGMA
Abstract. 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. Apples, Pears, Bananas
Michael Kriegel, Ruth Aylett
Added 26 Jan 2011
Updated 26 Jan 2011
Type Journal
Year 2010
Where ICIDS
Authors Michael Kriegel, Ruth Aylett
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