Article

Integrating expectations from different sources to help end users acquire procedural knowledge

Author:

Jim BlytheAuthors Info & Claims

IJCAI'01: Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2

Pages 943 - 949

Published: 04 August 2001 Publication History

Abstract

Role-limiting approaches using explicit theories of problem-solving have been successful for acquiring knowledge from domain experts. However most systems using this approach do not support acquiring procedural knowledge, only instance and type information. Approaches using interdependencies among different pieces of knowledge have been successful for acquiring procedural knowledge, but these approaches usually do not provide all the support that domain experts require. We show how the two approaches can be combined in such a way that each benefits from information provided by the other. We extend the role-limiting approach with a knowledge acquisition tool that dynamically generates questions for the user based on the problem solving method. This allows a more flexible interaction pattern. When users add knowledge, this tool generates expectations for the procedural knowledge that is to be added. When these procedures are refined, new expectations are created from interdependencymodels that in turn refine the information used by the system. The implemented KA tool provides broader support than previously implemented systems. Preliminary evaluations in a travel planning domain show that users who are not programmers can, with little training, specify executable procedural knowledge to customize an intelligent system.

References

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Cited By

Fan JBarker KPorter B(2009)Automatic interpretation of loosely encoded inputArtificial Intelligence10.1016/j.artint.2008.10.007173:2(197-220)Online publication date: 1-Feb-2009
https://dl.acm.org/doi/10.1016/j.artint.2008.10.007
Blythe JRuss TStaab S(2008)Case-based reasoning for procedure learning by instructionProceedings of the 13th international conference on Intelligent user interfaces10.1145/1378773.1378815(301-304)Online publication date: 13-Jan-2008
https://dl.acm.org/doi/10.1145/1378773.1378815
Blythe J(2005)An analysis of procedure learning by instructionProceedings of the 20th national conference on Artificial intelligence - Volume 210.5555/1619410.1619422(558-563)Online publication date: 9-Jul-2005
https://dl.acm.org/doi/10.5555/1619410.1619422
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Index Terms

Integrating expectations from different sources to help end users acquire procedural knowledge
1. Human-centered computing
  1. Human computer interaction (HCI)

Index terms have been assigned to the content through auto-classification.

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cover image Guide Proceedings

IJCAI'01: Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2

August 2001

1493 pages

ISBN:1558608125

Sponsors

AAAI: American Association for Artificial Intelligence
The International Joint Conferences on Artificial Intelligence, Inc.

Publisher

Morgan Kaufmann Publishers Inc.

San Francisco, CA, United States

Publication History

Published: 04 August 2001

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Cited By

Fan JBarker KPorter B(2009)Automatic interpretation of loosely encoded inputArtificial Intelligence10.1016/j.artint.2008.10.007173:2(197-220)Online publication date: 1-Feb-2009
https://dl.acm.org/doi/10.1016/j.artint.2008.10.007
Blythe JRuss TStaab S(2008)Case-based reasoning for procedure learning by instructionProceedings of the 13th international conference on Intelligent user interfaces10.1145/1378773.1378815(301-304)Online publication date: 13-Jan-2008
https://dl.acm.org/doi/10.1145/1378773.1378815
Blythe J(2005)An analysis of procedure learning by instructionProceedings of the 20th national conference on Artificial intelligence - Volume 210.5555/1619410.1619422(558-563)Online publication date: 9-Jul-2005
https://dl.acm.org/doi/10.5555/1619410.1619422
Blythe JSt. Amant RRiedl JJameson A(2005)Task learning by instruction in tailorProceedings of the 10th international conference on Intelligent user interfaces10.1145/1040830.1040874(191-198)Online publication date: 10-Jan-2005
https://dl.acm.org/doi/10.1145/1040830.1040874
Blythe JGil YFeldman SUretsky MNajork MWills C(2004)Incremental formalization of document annotations through ontology-based paraphrasingProceedings of the 13th international conference on World Wide Web10.1145/988672.988734(455-461)Online publication date: 17-May-2004
https://dl.acm.org/doi/10.1145/988672.988734
Kim JBlythe JLeake DJohnson LAndre E(2003)Supporting plan authoring and analysisProceedings of the 8th international conference on Intelligent user interfaces10.1145/604045.604065(109-116)Online publication date: 12-Jan-2003
https://dl.acm.org/doi/10.1145/604045.604065

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