By Neil C. Rowe
Synthetic Intelligence via Prolog e-book
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This is useful after the knowledge engineer has sufficient knowledge of the domain to ask relevant probing questions. • think aloud interviews — during these interviews the expert is asked to solve aloud a particular problem from the domain. The knowledge engineer uses the orally expressed thought processes of the expert to validate the currently known knowledge about the domain. Planning the knowledge acquisition process 47 Because the available time of experts is expensive and scarce, each interview session has to be carefully planned to obtain maximum benefits.
Today, Aldo Camino is happily retired and Campbell Soup is content with 'Aldo on a Disk'. 34 Knowledge-based systems and knowledge acquisition Structure of knowledge-based systems Several different architectures are possible for KBSs. 1): a knowledge base, an inference engine, and a user interface. 1 Structure of a generic knowledge-based system The knowledge base serves as the repository of domain-specific knowledge, and contains all knowledge necessary for problem solution. Conceptually, a knowledge base can be thought of simply as a database augmented with rules specifying how to interpret the data in the database.
The agents have to determine the authenticity of the card-holder making the credit request, and also assess the likelihood that the card-holder will pay the amount later. To aid the decision process, agents may have to retrieve information from as many as 13 different databases, and look at possibly 16 different screenfulls of data. Agents also have to include their subjective analyses about the particular credit request (for example, American Express 3 3 jewellery items are usually favoured by card thieves).
Artifical intelligence through Prolog by Neil C. Rowe