Memory-based meta-level reasoning for interactive knowledge capture

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

Current knowledge acquisition tools are oblivious to the process or strategy that the user may be following in entering new knowledge and unaware of their progress during a session. Users have to make up for these shortcomings by keeping track of the status, progress, potential problems and possible courses of actions by themselves. We present a novel extension to existing systems that 1) keeps track of past problem solving episodes and relates them to user entered knowledge, 2) assesses the current status of the knowledge and the problem solving using such relations, and 3) provides assistance to the user based on the assessment We applied the approach in developing an intelligent assistant for decision making tasks. The resulting interaction shows that the system helps the user understand the progress and guides the knowledge authoring process in terms of making the knowledge more useful, adapting the knowledge to dynamic changes over time, and making the overall problem solving more successful.

Original languageEnglish
Pages68-73
Number of pages6
StatePublished - 2005
Event2005 AAAI Spring Symposium - Stanford, CA, United States
Duration: 21 Mar 200523 Mar 2005

Conference

Conference2005 AAAI Spring Symposium
Country/TerritoryUnited States
CityStanford, CA
Period21/03/0523/03/05

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