Review of Intelligent Systems for Engineering: A Knowledge-Based Approach

For several decades, there has been another face to the field, a technological one that provides tools for solving practical problems in various domains. Of these domains, engineering and medicine have had the closest interaction with AI. AI ideas in representation and reasoning have been especially relevant to diagnosis and corrective action planning in both domains, and in engineering, design has been another area of very fruitful collaboration. These disciplines have not been mere consumers of AI ideas and technology, however. They have had a deep effect on the theoretical side of AI. Complex real-world reasoning tasks, such as those in engineering and medicine, bring out the inadequacy of purely theoretical conceptions about the nature of intelligence. The enormous amounts and types of knowledge often required for carrying out practical reasoning, and the variety of inference techniques that are displayed by practitioners, and the need to arrive at conclusions rapidly--these ...