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Artificial Intelligence: Structures and Strategies for Complex Problem Solving is ideal for a one or twosemester undergraduate course on AI. In this accessible, comprehensive text, George Luger captures the essence of artificial intelligencesolving the complex problems that arise wherever computer technology is applied. Artificial Intelligence (AI) will define the next generation of software solutions. Humanlike capabilities such as understanding natural language, speech, vision, and making inferences from knowledge will extend software beyond the app. Artificial intelligencebased crack detection system for concrete structures As both the number of companies that rely on droneassisted inspection as well as the amount of data collected in. 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Executive Editor Michael Hirsch Acquisitions Editor Matt Goldstein Artificial intelligence. Knowledge representation (Information theory) 3. Strong Slot Filler Structure Which kind of representation is best? Individual semantic networks and frame systems may have specialized links and inference procedures, but there are no hard and fast rules about what kinds of objects are good to use for Knowledge Representation. Prior knowledge plays a major role in architectural design. This knowledge pertains to the products and processes of design. Utilizing computers as a design medium requires the representation of such knowledge for reasoning purposes. The choice of George Luger is currently a Professor of Computer Science, Linguistics, and Psychology at the University of New Mexico. He received his PhD from the University of Pennsylvania and spent five years researching and teaching at the Department of Artificial Intelligence at the University of Edinburgh. 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