id: 05836980
dt: a
an: 05836980
au: Kriegel, Michael; Aylett, Ruth
ti: Crowd-sourced AI authoring with ENIGMA.
so: Aylett, Ruth (ed.) et al., Interactive storytelling. Third joint conference
    on interactive digital storytelling, ICIDS 2010, Edinburgh, UK,
    November 1‒3, 2010. Proceedings. Berlin: Springer (ISBN
    978-3-642-16637-2/pbk). Lecture Notes in Computer Science 6432, 275-278
    (2010).
py: 2010
pu: Berlin: Springer
la: EN
cc: 
ut: 
ci: 
li: doi:10.1007/978-3-642-16638-9_41
ab: Summary: 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.
rv: