@phdthesis { brisson13,
	abstract = {Autonomous Agents research in Interactive Storytelling (IS) has been following the principle that stories can be dynamically generated by the interaction between characters in real-time systems, as long as they implement well-defined characters. Such approach requires a heavy authorial effort. We contend that this is could be reduced by shifting some of the authorial power to the agents.

We present the concept of authorial-agents, autonomous agents able of reasoning over the impact of their own actions in the story development and change their actions accordingly. The creation of authorial-agents requires the implementation of acting techniques that negotiate story development in all its dimensions.
Our approach for creating authorial-agents consists on the implementation of computational models based on cognitive studies over actors behaviors or detailed analysis of acting techniques. We contribute towards the creation of authorial-agents by identifying and implementing three dif- ferent acting techniques for authorial-agents. Each technique is presented in a case study. The authorial-agents for the two first case studies apply two different tilt mechanisms that were identi- fied in our cognitive study of improvisational actors: status shift and property inconsistency. The third case study implements an emotional escalation mechanism supported by our analysis of the acting techniques used to create comic sketches.},
	keywords = {Intelligent Virtual Agents;Intelligent Interactive Storytelling;},
	month = {September},
	school = {Instituto Superior Técnico - Universidade de Lisboa},
	title = {Tilt Riders: Creating Authorial-Agents for Interactive Storytelling},
	year = {2013},
	author = {António Brisson}
}