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
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
What evolutionary game theory tells us about multiagent learning
Artificial Intelligence
MEBN: A language for first-order Bayesian knowledge bases
Artificial Intelligence
An Implementation of Extended P-Log Using XASP
ICLP '08 Proceedings of the 24th International Conference on Logic Programming
Efficient duration and hierarchical modeling for human activity recognition
Artificial Intelligence
Plan recognition for interface agents
Artificial Intelligence Review
Probabilistic reasoning with answer sets
Theory and Practice of Logic Programming
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
Policy recognition in the abstract hidden Markov model
Journal of Artificial Intelligence Research
Goal recognition through goal graph analysis
Journal of Artificial Intelligence Research
A planning/scheduling methodology for the constrained resource problem
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
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
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
Machine Recognition of Human Activities: A Survey
IEEE Transactions on Circuits and Systems for Video Technology
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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Decision making about which are the scrutinized intentions of others, usually called intention reading or intention recognition, is an elementary basic decision making process required as a basis for other higher-level decision making, such as the intention-based decision making which we have set forth in previous work. We present herein a recognition method possessing several features desirable of an elementary process: i The method is context-dependent and incremental, enabling progressive construction of a three-layer Bayesian network model as more actions are observed, and in a context-situated manner that relies on a logic programming knowledge base concerning the context; ii The Bayesian network is structured from a specific knowledge base of readily specified and readily maintained Bayesian network fragments with simple structures, thereby enabling the efficient acquisition of that knowledge base engineered either by domain experts or else automatically from a plan corpus; and, iii The method addresses the issue of intention change and abandonment, and can appropriately resolve the issue of the recognition of multiple intentions. The several aspects of the method have been experimentally evaluated in applications and achieving definite success, using the Linux plan corpus and the so-called IPD plan corpora, which are playing sequences generated by game playing strategies needing to be recognized, in the iterated Prisoner's Dilemma. One other application concerns variations of Elder Care in the context of Ambient Intelligence.