Causality: models, reasoning, and inference
Causality: models, reasoning, and inference
Tabling for non-monotonic programming
Annals of Mathematics and Artificial Intelligence
JELIA '02 Proceedings of the European Conference on Logics in Artificial Intelligence
Smodels - An Implementation of the Stable Model and Well-Founded Semantics for Normal LP
LPNMR '97 Proceedings of the 4th International Conference on Logic Programming and Nonmonotonic Reasoning
A logic programming approach to knowledge-state planning, II: the DLVk system
Artificial Intelligence
Journal of Intelligent and Robotic Systems
Theory and Practice of Logic Programming
A Logic Programming Approach to Home Monitoring for Risk Prevention in Assisted Living
ICLP '08 Proceedings of the 24th International Conference on Logic Programming
An Implementation of Extended P-Log Using XASP
ICLP '08 Proceedings of the 24th International Conference on Logic Programming
Probabilistic reasoning with answer sets
Theory and Practice of Logic Programming
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
Design patterns for tabled logic programming
INAP'09 Proceedings of the 18th international conference on Applications of declarative programming and knowledge management
Intention-based decision making with evolution prospection
EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
State-of-the-art of intention recognition and its use in decision making
AI Communications
Intelligent Decision Technologies
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We explore and exemplify the application in the Elder Care context of the ability to perform Intention Recognition and of wielding Evolution Prospection methods. This is achieved by means of an articulate use of Causal Bayes Nets (for heuristically gauging probable general intentions), combined with specific generation of plans involving preferences (for checking which of such intentions are plausibly being carried out in the specific situation at hand). The overall approach is formulated within a coherent and general logic programming framework and implemented system. The paper recaps required background and illustrates the approach via an extended application example.