Case-based planning: viewing planning as a memory task
Case-based planning: viewing planning as a memory task
A formal theory of plan recognition and its implementation
Reasoning about plans
Planning and Learning by Analogical Reasoning
Planning and Learning by Analogical Reasoning
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
PRODIGY 4.0: The Manual and Tutorial
PRODIGY 4.0: The Manual and Tutorial
Local Predictions for Case-Based Plan Recognition
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
Case-based plan recognition with novel input
Control and Intelligent Systems
Abstraction in Knowledge-Rich Models for Case-Based Planning
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
HYREC: a hybrid recommendation system for e-commerce
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
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We describe a case-based approach to the keyhole plan-recognition task where the observed agent is a state-space planner whose world states can be monitored. Case-based approach provides means for automatically constructing the plan library from observations, minimizing the number of extraneous plans in the library. We show that the knowledge about the states of the observed agent's world can be effectively used to recognize agent's plans and goals, given no direct knowledge about the planner's internal decision cycle. Cases (plans) containing state knowledge enable the recognizer to cope with novel situations for which no plans exist in the plan library, and to further assist in effective discrimination among competing plan hypothesis.