SALT: a knowledge acquisition language for propose-and-revise systems
Artificial Intelligence
Overcoming the limitations of role-limiting methods
Knowledge Acquisition - Special issue on knowledge acquisition for therapy-planning tasks
Knowledge Acquisition - Special issue on knowledge acquisition for therapy-planning tasks
Task modeling with reusable problem-solving methods
Artificial Intelligence
Deriving expectations to guide knowledge base creation
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Designing scripts to guide users in modifying knowledge-based systems
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
An integrated environment for knowledge acquisition
Proceedings of the 6th international conference on Intelligent user interfaces
Explicit representations of problem-solving strategies to support knowledge acquisition
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Supporting plan authoring and analysis
Proceedings of the 8th international conference on Intelligent user interfaces
Incremental formalization of document annotations through ontology-based paraphrasing
Proceedings of the 13th international conference on World Wide Web
Task learning by instruction in tailor
Proceedings of the 10th international conference on Intelligent user interfaces
Case-based reasoning for procedure learning by instruction
Proceedings of the 13th international conference on Intelligent user interfaces
Automatic interpretation of loosely encoded input
Artificial Intelligence
Interpreting loosely encoded questions
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
An analysis of procedure learning by instruction
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Hi-index | 0.00 |
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.