@inproceedings { rato17,
	abstract = {Humans  lie  every  day,  from  the  least  harmful  lies  to  themost  impactful  ones.   Therefore,  in  an  attempt  to  designvirtual agents endowed with advanced decision-making abil-ities,  researchers not only focused their effort in designingcooperative and truthful agents but also deceptive and lyingones.  In this paper we propose a model capable of engag-ing an agent in an uncooperative misleading dialogue witha user.  This model gives to an agent the ability to reasonabout its knowledge and then autonomously adjust the storyit tells depending on what its interlocutors might know andon how sensitive it considers the conversation topic to be.Such a model allows a story’s author to focus on the mainnarrative, letting the model handle the generation of alter-natives.  We implemented the model in an agent called theDeceptive Virtual Suspect and conducted some preliminaryexperiments using an Interrogation Game.},
	address = {Richland, SC},
	booktitle = {Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems},
	keywords = {Intelligent Virtual Agents;Computer Games;},
	location = {S\~{a}o Paulo, Brazil},
	numpages = {3},
	pages = {1711-1713},
	publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
	series = {AAMAS '17},
	title = {Strategically Misleading the User: Building a DeceptiveVirtual Suspect},
	volume = {3166/2004},
	year = {2017},
	author = {Diogo Rato and Brian Ravenet and Rui Prada and Ana Paiva}
}