Techniques for Plan Recognition View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2001-03

AUTHORS

Sandra Carberry

ABSTRACT

Knowing a user's plans and goals can significantly improve the effectiveness of an interactive system. However, recognizing such goals and the user's intended plan for achieving them is not an easy task. Although much research has dealt with representing the knowledge necessary for plan inference and developing strategies that hypothesize the user's evolving plans, a number of serious problems still impede the use of plan recognition in large-scale, real-world applications. This paper describes the various approaches that have been taken to plan inference, along with techniques for dealing with ambiguity, robustness, and representation of requisite domain knowledge, and discusses areas for further research. More... »

PAGES

31-48

References to SciGraph publications

  • 2001-03. Learner Control in USER MODELING AND USER-ADAPTED INTERACTION
  • 1992-03. Intention structure and extended responses in a portable natural language interface in USER MODELING AND USER-ADAPTED INTERACTION
  • 2001-03. Predictive Statistical Models for User Modeling in USER MODELING AND USER-ADAPTED INTERACTION
  • 1992-03. On the interaction between plan recognition and intelligent interfaces in USER MODELING AND USER-ADAPTED INTERACTION
  • 1992-03. A meta-rule approach to flexible plan recognition in dialogue in USER MODELING AND USER-ADAPTED INTERACTION
  • 1992-03. Controlling inference in plan recognition in USER MODELING AND USER-ADAPTED INTERACTION
  • 1991-12. Generation and selection of likely interpretations during plan recognition in task-oriented consultation systems in USER MODELING AND USER-ADAPTED INTERACTION
  • 1997-06. Plan Recognition and Evaluation for On-line Critiquing in USER MODELING AND USER-ADAPTED INTERACTION
  • 2001-03. Natural Language Processing and User Modeling: Synergies and Limitations in USER MODELING AND USER-ADAPTED INTERACTION
  • 1991-12. Utilizing user models to handle ambiguity and misconceptions in robust plan recognition in USER MODELING AND USER-ADAPTED INTERACTION
  • 1991-06. Recognizing intentions, interactions, and causes of plan failures in USER MODELING AND USER-ADAPTED INTERACTION
  • 1991-06. Active acquisition of user models: Implications for decision-theoretic dialog planning and plan recognition in USER MODELING AND USER-ADAPTED INTERACTION
  • 1991-06. Exploiting temporal and novel information from the user in plan recognition in USER MODELING AND USER-ADAPTED INTERACTION
  • 1999. Using Plan Recognition in Human-Computer Collaboration in UM99 USER MODELING
  • 1997. Towards a Bayesian Model for Keyhole Plan Recognition in Large Domains in USER MODELING
  • 1998-03. Bayesian Models for Keyhole Plan Recognition in an Adventure Game in USER MODELING AND USER-ADAPTED INTERACTION
  • 1995-09. A dempster-shafer approach to modeling agent preferences for plan recognition in USER MODELING AND USER-ADAPTED INTERACTION
  • 1995-06. Using dynamic user models in the recognition of the plans of the user in USER MODELING AND USER-ADAPTED INTERACTION
  • 1992-03. Weighted abduction for plan ascription in USER MODELING AND USER-ADAPTED INTERACTION
  • 1996. IDP — An interactive discourse planner in TRENDS IN NATURAL LANGUAGE GENERATION AN ARTIFICIAL INTELLIGENCE PERSPECTIVE
  • 2001-03. Machine Learning for User Modeling in USER MODELING AND USER-ADAPTED INTERACTION
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1023/a:1011118925938

    DOI

    http://dx.doi.org/10.1023/a:1011118925938

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1034599387


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    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1023/a:1011118925938'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1023/a:1011118925938'

    Turtle is a human-readable linked data format.

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    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1023/a:1011118925938'


     

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