It takes a lot of humanity to make machines intelligent. At least, that's true for expert systems. An expert system with an empty knowledge base is actually quite dumb. It depends completely on people to collect its knowledge, put it in the right form, load it up and then look after its ongoing care and feeding.... Continue Reading →
Expert systems can be described in three structural components. My description is intentionally simplified. It's also meant to be conceptual. Actual systems may have a more complex makeup, or a different architecture altogether. The Knowledge Base The knowledge base makes the expert system intelligent. It's where the domain-specific expert knowledge is stored. The knowledge is... Continue Reading →
The value proposition for expert systems is simple. Capture the knowledge and reasoning from subject matter experts in a given domain and make it available to non-expert users through a technology-based system. Dealing with an expert system isn't the same as dealing with a human expert. Computers have no common sense. They are only capable of... Continue Reading →
What is the business case for building an expert system? Let's start with the costs. Someone has to create the knowlege base for the expert system. Knowledge engineering can be slow, tedious, complicated and expensive. The expert system will require the technology to serve as the platform. Someone will have to provide the ongoing support for... Continue Reading →
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