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AAAI10 PRosenbloom D - University of Southern California
AAAI10 PRosenbloom D - University of Southern California

... mixed variant of Soar 9 as a driving application. The result is a novel approach to integrated architectural diversity that effectively marries simplicity with broad functionality, as witnessed by an integrated implementation of four distinct long-term memories, one procedural (rules) and three decl ...
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Specialized Computer Support Systems for Medical Diagnosis

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... that employ any of the techniques commonly called "artificial intelligence" by computer scientists. To explore the scope and potential of ASI, the Sociology Program of the National Science Foundation convened a workshop at the National Center for Supercomputing Applications at the University of Illi ...
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Chapter 14: Artificial Intelligence

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Knowledge representation and reasoning

Knowledge representation and reasoning (KR) is the field of artificial intelligence (AI) dedicated to representing information about the world in a form that a computer system can utilize to solve complex tasks such as diagnosing a medical condition or having a dialog in a natural language. Knowledge representation incorporates findings from psychology about how humans solve problems and represent knowledge in order to design formalisms that will make complex systems easier to design and build. Knowledge representation and reasoning also incorporates findings from logic to automate various kinds of reasoning, such as the application of rules or the relations of sets and subsets.Examples of knowledge representation formalisms include semantic nets, systems architecture, Frames, Rules, and ontologies. Examples of automated reasoning engines include inference engines, theorem provers, and classifiers.
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