A Bayesian Model of Plan Recognition

By Eugene Charniak, Robert P. Goldman. 1993

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Citations in the corpus

Plan explicability and predictability for robot task planning (2015, background): “There exists a rich literature on plan recognition [14, 3, 20, 16], and many recent works use these techniques in human-aware planning and human-robot teaming [23, 2, 25].”
A Bayesian model for opening prediction in RTS games with application to StarCraft (2011, methodology): “We used this replay feature to extract players actions and learn the probabilities of tech trees to happen at a given time and, in this paper, also given a labeled opening.”
Interactive and interpretable machine learning models for human machine collaboration (2015, background): “Plan recognition has been an area of interest within many domains, including interactive software [117, 17, 95], story understanding [33] and natural language dialogue [25, 64].”
Autonomous agents modelling other agents: A comprehensive survey and open problems (2017, background): “Charniak and Goldman [75] no no –* yes no –** –*/disc.”
Programming by Demonstration Using Version Space Algebra (2003, background): “Plan recognition (Kautz & Allen, 1986; Charniak & Goldman, 1993; Vilain, 1990; Pollack, 1990) aims to understand an agent’s plan or goal based on a partial observation of the agent’s behavior.”
Plan Recognition as Planning (2009, background): “Work in plan recognition, however, has proceeded independently of the work in planning, using mostly handcrafted libraries or algorithms that are not related to planning [Kautz and Allen, 1986; Vilain, 1990; Charniak and Goldman, 1993; Lesh and Etzioni, 1995; Goldman et al., 1999; Avrahami-Zilberbra”
Using Bayesian Networks to Manage Uncertainty in Student Modeling (2002, background): “…abilities (e.g., Mislevy, 1995; Petrushin, Sinitsa and Zherdienko, 1995; Van- Lehn and Martin, 1998), (2) recognizing the user’s plans or goals (e.g., Charniak and Goldman, 1992; Huber et al., 1994; Conati and VanLehn, 1996b; Albrecht et al., 1999), or (3) predicting the user’s inferences (e.g.,…”
Inferring Team Task Plans from Human Meetings: A Generative Modeling Approach with Logic-Based Prior (2015, unknown): “…the plan from noisy and incomplete observation can be formulated as a plan recognition problem (Ryall, Marks, & Shieber, 1997; Bauer, Biundo, Dengler, Koehler, & Paul, 2011; Mayﬁeld, 1992; Charniak & Goldman, 1993; Carberry, 1990; Grosz & Sidner, 1990; Gal, Reddy, Shieber, Rubin, & Grosz, 2012).”
Modeling Human Understanding of Complex Intentional Action with a Bayesian Nonparametric Subgoal Model (2015, background): “All rights reserved. literature (Schank and Abelson 1977; Kautz and Allen 1986; Charniak and Goldman 1993; Bui, Venkatesh, and West 2002)) seek to leverage this hierarchical structure by building in prior knowledge of others’ high-level actions, tasks, and goals.”
MEBN: A language for first-order Bayesian knowledge bases (2008, background): “Charniak and Goldman [11] and Levitt et al. [7,51] also consider hypothesis management in open-world computational probabilistic reasoning systems.”
Learning Probabilistic Hierarchical Task Networks as Probabilistic Context-Free Grammars to Capture User Preferences (2014, methodology): “Probabilistic models that were used in these efforts include Bayesian networks [Charniak and Goldman 1993; Albrecht et al. 1998; Yin et al. 2004], N-gram models [Blaylock and Allen 2003], and so on.”
Techniques for Plan Recognition (2001, unknown): “Charniak and Goldman (1991, 1993) constructed the ¢rst Bayesian plan inference system.”
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.”