An expert system built on logic-based rules needs input from to make it work. Questions can elicit this input from users. Adding action to conditional logic The rules in the expert system’s knowledge base depend on a conditional “if…,then…” or “if X, then Y” structure. The “if X” represents the condition and the “then Y”... Continue Reading →
This post introduces some of the tools a knowledge engineering team can use to create the logic for an expert system database. Digital vs analog Like many forms of facilitation, it's possible to use post-it notes and large sheets of paper or walls, windows, etc. to create and capture the knowledge content. These tools can... Continue Reading →
This post introduces the structure and format for meetings with subject matter experts. These meetings become the "live" facilitation sessions used to collect knowledge for the expert system's database. Acquiring expert knowledge Expert knowledge is collected by knowledge engineers through live facilitation sessions. Knowledge engineers acquire domain knowledge from subject matter experts through a range... Continue Reading →
Knowledge engineering can be treated like a project. In some respects, the creation of a knowledge base is a one-time collection of activities that pursue a specific end in the creation of a knowledge base. This work will take considerable time and resources. Planning and management should be part of the process. This post covers some... Continue Reading →
Creating an expert system's knowledge base is the heart of knowledge engineering. This description covers steps 5 of the process at a high level. Proto-branch creation Following random content creation, the knowledge engineering team can move next to the creation of prototype branches through the domain. These branches will form the basis for the eventual... Continue Reading →
Creating an expert system's knowledge base is the goal of knowledge engineering. This post describes random content generation at a high level. Random content generation Once the scope of the an expert system's knowledge base is determined, the next step is random generation of knowledge-based content. Random content generation creates sprouts of the branches that... Continue Reading →
Creating an expert system's knowledge base is the heart of knowledge engineering. This description covers the first 3 steps of the process at a high level. Orientation Knowledge engineers require orientation to the processes and methodologies that will be used to create the knowledge base for the particular system under construction. Subject matter experts also... Continue Reading →
Expert systems rely on computers to deliver non-expert reasoning, support and guidance to non-expert users. To benefit from this expert knowledge, users must have access to the technology, either directly on their own, or with the help of others. Expert systems are machines Expert systems deliver their output through computers. Paper-based "choose your own adventure" versions... Continue Reading →
Intelligent technologies like expert systems are designed to deliver expert knowledge to non-expert users. Finding good subject matter experts and using them the appropriately are critical to success. The importance of expert knowledge The knowledge engineering process will depend on the availability of expert knowledge. At least one subject matter expert with specialized domain knowledge... Continue Reading →
Knowledge engineers work to capture knowledge from a messy, abstract domain and turn it into logic-based rules structured in a very methodical way within a concrete, tangible knowledge base. Managing scope is a key to success. Managing scope of problems While work is under way to define the problem and potential responses, knowledge engineers must define... Continue Reading →
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