Interactive knowledge acquisition and scenario authoring

Debbie Richards*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review


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.

Original languageEnglish
Title of host publicationPRICAI 2008: Trends in Artificial Intelligence - 10th Pacific Rim International Conference on Artificial Intelligence, Proceedings
EditorsTu-Bao Ho, Zhi-Hua Zhou
Place of PublicationBerlin
PublisherSpringer, Springer Nature
Number of pages7
Volume5351 LNAI
ISBN (Print)354089196X, 9783540891963
Publication statusPublished - 2008
Event10th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2008 - Hanoi, Viet Nam
Duration: 15 Dec 200819 Dec 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5351 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349


Other10th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2008
CountryViet Nam


  • Adaptive/intelligent user interfaces
  • Knowledge based systems
  • Narrative intelligence
  • Ripple down rules
  • Training simulation
  • Virtual reality


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