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Interactive Knowledge Acquisition and Scenario Authoring

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PRICAI 2008: Trends in Artificial Intelligence (PRICAI 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5351))

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Abstract

Encoding knowledge and authoring content in virtual reality systems typically requires trained specialists. This project, concerned with training people to identify risky situations, aims to reduce the knowledge acquisition bottleneck by allowing trainers to enter their knowledge and generate alternative scenarios whilst interacting with existing training sessions. The goal is not only to speed up the capture of knowledge and content but also to tap into (tacit) knowledge through this knowledge-in-action approach and to allow the trainee to experience and query the underlying domain knowledge. Ripple Down Rules is proposed as the knowledge representation and method as it supports incremental acquisition of rules performed by the domain expert as new situations arise. In this project we seek to capture concurrently new knowledge and cases.

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Author information

Authors and Affiliations

  1. Computing Department, Maquarie University, North Ryde, Australia, 2109

    Debbie Richards

Authors
  1. Debbie Richards
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Editor information

Editors and Affiliations

  1. Japan Advanced Institute of Science and Technology, Asahidai 1-1, 923-12292, Nomi, Japan

    Tu-Bao Ho

  2. Department of Computer Science & Technology, Nanjing University, 22 Hankou Road, 210093, China

    Zhi-Hua Zhou

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© 2008 Springer-Verlag Berlin Heidelberg

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Richards, D. (2008). Interactive Knowledge Acquisition and Scenario Authoring. In: Ho, TB., Zhou, ZH. (eds) PRICAI 2008: Trends in Artificial Intelligence. PRICAI 2008. Lecture Notes in Computer Science(), vol 5351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89197-0_104

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  • DOI: https://doi.org/10.1007/978-3-540-89197-0_104

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89196-3

  • Online ISBN: 978-3-540-89197-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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