Intention is choice with commitment
Artificial Intelligence
A Bayesian model of plan recognition
Artificial Intelligence
Causality: models, reasoning, and inference
Causality: models, reasoning, and inference
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Knowledge Representation, Reasoning, and Declarative Problem Solving
Knowledge Representation, Reasoning, and Declarative Problem Solving
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
User Modeling and User-Adapted Interaction
Plan Recognition in Stories and in Life
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Scalable and adaptive goal recognition
Scalable and adaptive goal recognition
A decision theoretic approach for interface agent development
A decision theoretic approach for interface agent development
Journal of Intelligent and Robotic Systems
MEBN: A language for first-order Bayesian knowledge bases
Artificial Intelligence
A Hybrid Plan Recognition Model for Alzheimer's Patients: Interleaved-Erroneous Dilemma
IAT '07 Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology
BDI-agents for agile goal-oriented business processes
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: industrial track
Plan recognition for interface agents
Artificial Intelligence Review
A probabilistic plan recognition algorithm based on plan tree grammars
Artificial Intelligence
Learning first-order probabilistic models with combining rules
Annals of Mathematics and Artificial Intelligence
Assessing the complexity of plan recognition
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
The independent lifestyle assistant™ (I.L.S.A.): AI lessons learned
IAAI'04 Proceedings of the 16th conference on Innovative applications of artifical intelligence
Monitoring teams by overhearing: a multi-agent plan-recognition approach
Journal of Artificial Intelligence Research
Policy recognition in the abstract hidden Markov model
Journal of Artificial Intelligence Research
Goal recognition through goal graph analysis
Journal of Artificial Intelligence Research
Corpus-based, statistical goal recognition
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
A general model for online probabilistic plan recognition
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Recognizing plan/goal abandonment
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
The BATmobile: towards a Bayesian automated taxi
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Efficient online learning and prediction of users' desktop actions
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Goal recognition with variable-order Markov models
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Intention Recognition via Causal Bayes Networks Plus Plan Generation
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Evolution prospection in decision making
Intelligent Decision Technologies
A probabilistic model of plan recognition
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
SampleSearch: Importance sampling in presence of determinism
Artificial Intelligence
Ambient intelligence: A survey
ACM Computing Surveys (CSUR)
Elder care via intention recognition and evolution prospection
INAP'09 Proceedings of the 18th international conference on Applications of declarative programming and knowledge management
Intention recognition promotes the emergence of cooperation
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Intention-based decision making with evolution prospection
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
A new model of plan recognition
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
SPOOK: a system for probabilistic object-oriented knowledge representation
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
The lumière project: Bayesian user modeling for inferring the goals and needs of software users
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Accounting for context in plan recognition, with application to traffic monitoring
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Network fragments: representing knowledge for constructing probabilistic models
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Network engineering for complex belief networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Parameter adjustment in Bayes networks. the generalized noisy OR-gate
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
A generalization of the noisy-or model
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
Moral reasoning under uncertainty
LPAR'12 Proceedings of the 18th international conference on Logic for Programming, Artificial Intelligence, and Reasoning
The role of intention recognition in the evolution of cooperative behavior
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Corpus-based intention recognition in cooperation dilemmas
Artificial Life
Intention Recognition, Commitment and Their Roles in the Evolution of Cooperation: From Artificial Intelligence Techniques to Evolutionary Game Theory Models
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Intention recognition is the process of becoming aware of the intentions of other agents, inferring them through observed actions or effects on the environment. Intention recognition enables pro-activeness, in cooperating or promoting cooperation, and in pre-empting danger. Technically, intention recognition can be performed incrementally as you go along, which amounts to learning. Intention recognition can also use past experience from a database of past interactions, not necessarily with the same agent. Bayesian Networks BN can be employed to dynamically summarize general statistical evidence, furnishing heuristic information to link with the situation specific information, about which logical reasoning can take place, and decisions made on actions to be performed, possibly involving actions to obtain new observations. This situated reasoning feeds into the BN to tune it, and back again into the logic component. In this article, we provide a review bearing on the state-of-the-art work on intention and plan recognition, which includes a comparison with our recent research, where we address a number of important issues of intention recognition. We also argue for an integrative approach to intention-based decision-making that uses a combination of Logic Programming and Bayesian Networks.