A Bayesian model of plan recognition
Artificial Intelligence
Multiple roles, multiple teams, dynamic environment: autonomous Netrek agents
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Toward the holodeck: integrating graphics, sound, character and story
Proceedings of the fifth international conference on Autonomous agents
Plan Recognition in Natural Language Dialogue
Plan Recognition in Natural Language Dialogue
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
User Modeling and User-Adapted Interaction
Probabilistic State-Dependent Grammars for Plan Recognition
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Managing interaction between users and agents in a multi-agent storytelling environment
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Guiding interactive drama
Scalable and adaptive goal recognition
Scalable and adaptive goal recognition
System for authoring highly interactive, personality-rich interactive characters
SCA '04 Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation
Thespian: using multi-agent fitting to craft interactive drama
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Proactive mediation in plan-based narrative environments
Lecture Notes in Computer Science
AI characters and directors for interactive computer games
IAAI'04 Proceedings of the 16th conference on Innovative applications of artifical intelligence
Corpus-based, statistical goal recognition
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Policy recognition for multi-player tactical scenarios
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Early Prediction of Student Frustration
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
Integrated introspective case-based reasoning for intelligent tutoring systems
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
A method for generating narrative discourse to prompt inferences
Proceedings of the Intelligent Narrative Technologies III Workshop
Recommender algorithms in activity motivating games
Proceedings of the fourth ACM conference on Recommender systems
Domain Independent Goal Recognition
Proceedings of the 2010 conference on STAIRS 2010: Proceedings of the Fifth Starting AI Researchers' Symposium
Adaptive quests for dynamic world change in MMORPGs
Proceedings of the International Conference on the Foundations of Digital Games
Integrating learning, problem solving, and engagement in narrative-centered learning environments
International Journal of Artificial Intelligence in Education - Special issue on Best of ITS 2010
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Recent years have witnessed a growing interest in interactive narrative-centered virtual environments for education, training, and entertainment. Narrative environments dynamically craft engaging story-based experiences for users, who are themselves active participants in unfolding stories. A key challenge posed by interactive narrative is recognizing users' goals so that narrative planners can dynamically orchestrate plot elements and character actions to create rich, customized stories. In this paper we present an inductive approach to predicting users' goals by learning probabilistic goal recognition models. This approach has been evaluated in a narrative environment for the domain of microbiology in which the user plays the role of a medical detective solving a science mystery. An empirical evaluation of goal recognition based on n-gram models and Bayesian networks suggests that the models offer significant predictive power.