The 3-Part Anatomy of an Expert System

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 →

Chaining expert system logic

Each rule in an expert system knowledge base follows a conditional logic approach to reasoning. If a condition is satisfied, then the system makes a deduction. The rules in an expert system's knowledge base can be connected or chained together. This chaining allows the system to make several deductions in sequence. To make this forward-chaining approach... Continue Reading →

Can expert systems outperform humans?

Is an expert system better than a human expert? Sometimes. An expert system can out-reason humans - especially non-expert humans - in a particular domain. If you have a good knowledge base designed to reason well, it won't fail. Depth If the knowledge base contains very deep knowledge resembling advanced expertise, the system will reason like... Continue Reading →

Using expert systems to solve complex problems

Can expert systems solve complex problems? Yes. But they're not born to do it. Humans need to create the knowledge base that will enable them to reason about complex problems. The process is called knowledge engineering. Human experts hold knowledge in their domain of expertise. Knowledge engineers are the ones who acquire this knowledge and... Continue Reading →

Proudly powered by WordPress | Theme: Baskerville 2 by Anders Noren.

Up ↑