The Robotics Institute

Carnegie Mellon Robotics Institute

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Abstract

To provide assistance with tasks such as retrieving USENET news articles or identifying interesting Web pages, an intelligent agent requires information about a user's interests and needs. Machine learning techniques are now being used to acquire this information. A general architecture is presented, and two approaches to learning through observation are described. An instantiation of the architecture is then evaluated.

Notes

Associated Center(s) / Consortia: Center for Integrated Manfacturing Decision Systems

Associated Lab(s) / Group(s): Advanced Agent - Robotics Technology Lab

Number of pages: 10

Text Reference

P. Edwards, D. Bayer, Terence Payne, and C. L. Green, "Experience with Learning Agents which Manage Internet-Based Information," AAAI Spring Symposium on Machine Learning for Information Access, 1996, pp. 31-40.

BibTeX Reference

@inproceedings{Payne_1996_3188,
   author = "P. Edwards and D. Bayer and Terence Payne and C. L. Green",
   title = "Experience with Learning Agents which Manage Internet-Based Information",
   booktitle = "AAAI Spring Symposium on Machine Learning for Information Access",
   pages = "31-40",
   publisher = "AAAI Press",
   address = "Menlo Park, CA",
   year = "1996",
}

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