1 / 8

CS62S: Expert Systems

CS62S: Expert Systems. Knowledge acquisition and system implementation Based on Chap. 12: The Engineering of Knowledge-based Systems: Theory and Practice, A. J. Gonzalez and D. D. Dankel. Knowledge acquisition. Involves two parts: Knowledge elicitation, and Knowledge representation.

ellis
Download Presentation

CS62S: Expert Systems

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. CS62S: Expert Systems Knowledge acquisition and system implementation Based on Chap. 12: The Engineering of Knowledge-based Systems: Theory and Practice, A. J. Gonzalez and D. D. Dankel

  2. Knowledge acquisition Involves two parts: • Knowledge elicitation, and • Knowledge representation

  3. Knowledge elicitation • Kick-off interview • Acquaint the knowledge engineer with the discipline • Acquaint the expert to what will take place over the elicitation period • Discuss expectations • Suggest reading materials • Make schedule

  4. General knowledge-gathering sessions • Understand the domain better • Understand the expert’s opinions • Build rapport

  5. Specific problem-solving knowledge-gathering sessions Extraction of knowledge of a particular sub-area, assuming it is: • Well understood by the expert • Fairly understood by the knowledge engineer • Broad enough to represent a sub-section of the knowledge in the domain • Small enough to require a ‘short’ time to develop

  6. Knowledge organization • Outputs – the solutions to the problem • Inputs – the information used to deduce the output • Middle – the expert’s knowledge that connects the input to the output

  7. Knowledge documentation Rule-base knowledge diagrams:

  8. Knowledge elicitation techniques • Observational • On-site observation • Quiet • Discussion • Intuitive – knowledge engineer becomes expert in role-playing

More Related