Techniques for Plan Recognition

By Sandra Carberry. User modeling and user-adapted interaction, 2001

311 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Signal Processing

View Paper: https://www.semanticscholar.org/paper/5bf7f3c0d4be124647c32052c1da0fcae43fe71c

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Citations in the corpus

Concurrent Plan Recognition and Execution for Human-Robot Teams (2014, background): “Numerous approaches to plan recognition have been proposed, as noted in (Carberry 2001).”
A data mining approach to strategy prediction (2009, methodology): “At the strategic level, plan recognition has been applied to predicting an opponent’s actions, while various techniques have been applied to automatically learn domain knowledge.”
Sensor-Based Activity Recognition (2012, background): “One thread of work is to map activity recognition to the plan recognition problem in the well-studied artificial intelligence field [109].”
Ad Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination (2010, background): “Intended plan recognition (in contrast to keyhole recognition) is the term used when the observed agent knows that it is being observed, and is acting under the constraints imposed by this knowledge (Carrbery 2001).”
Adaptive interfaces and agents (2002, methodology): “An overview of uses of plan recognition in interactive systems is given by Carberry (2001).”
Predictive Statistical Models for User Modeling (2001, unknown): “In particular, early plan recognition systems used handcrafted plan libraries to postulate a user's intentions or preferences from his/her utterances (Carberry, 2000).”
Using perspective taking to learn from ambiguous demonstrations (2006, background): “In general, how to handle and resolve " misconceptions " is a significant issue in developing collaborative systems capable of goal inference and plan recognition [5].”
Empirical Evaluation of User Models and User-Adapted Systems (2001, background): “For a review of plan recognition see Carberry (2001), for a review of mixed-initiative systems see Zukerman and Litman (2001) and for a review of user modeling in human-computer interaction see Fischer (2001).”
Using Bayesian Networks to Manage Uncertainty in Student Modeling (2002, background): “Although knowledge assessment and plan recognition are thus strongly related, very little research in plan recognition has leveraged this connection (Jameson, 1996; Carberrry, 2001).”