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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.

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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
Knowledge acquisition

Involves two parts:

  • Knowledge elicitation, and
  • Knowledge representation
knowledge elicitation
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
general knowledge gathering sessions
General knowledge-gathering sessions
  • Understand the domain better
  • Understand the expert’s opinions
  • Build rapport
specific problem solving knowledge gathering sessions
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
knowledge organization
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
knowledge documentation
Knowledge documentation

Rule-base knowledge diagrams:

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