Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Causality: models, reasoning, and inference
Causality: models, reasoning, and inference
BDI-agents for agile goal-oriented business processes
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: industrial track
Robust and efficient plan recognition for dynamic multi-agent teams
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
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
Corpus-based, statistical goal recognition
IJCAI'03 Proceedings of the 18th international joint conference on Artificial 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
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
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
State-of-the-art of intention recognition and its use in decision making
AI Communications
Intelligent Decision Technologies
| Hi-index | 0.00 |
We explore a coherent combination, for decision making, of two Logic Programming based implemented systems, Evolution Prospection and Intention Recognition. The Evolution Prospection system has proven to be a powerful system for decision making, designing and implementing several kinds of preferences and useful environment-triggering constructs. It is here enhanced with an ability to recognize intentions of other agents--an important aspect not explored so far. The usage and usefulness of the combined system is illustrated with several extended examples.