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Knowledge-Based Systems: Concepts, Techniques, Examples

Knowledge-Based Systems Concepts, Techniques, Examples Reid G. Smith Schlumberger-Doll Research Old Quarry Road Ridgefield, CT USA 06877 Presented at the Canadian High Technology Show. Lansdowne Park, Ottawa, ON, May 8, 1985. This course will discuss the key concepts and techniques behind the Knowledge-Based Systems that are the focus of such wide interest today. These systems are at the applied edge of research in Artificial Intelligence. To put them in perspective this course will take a short historical tour through the AI field and its related subtopics. This tour will focus on underlying themes, with Examples drawn from representative systems. The key factors that underly Knowledge-Based systems are knowledge acquisition, knowledge representation, and the application of large bodies of knowledge to the particular problem domain in which the Knowledge-Based system operates.

May 08, 1985 · Transparent: Its knowledge is simply and explicitly represented in terms familiar to specialists, and is separate from its inference procedures. It provides explanations of its line of reasoning and answers to queries about its knowledge. Flexible: It is incrementally refinable and extensible. More details can be specified to refine its ...

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