Knowledge-based systems in engineering
著者
書誌事項
Knowledge-based systems in engineering
McGraw-Hill, c1991
- pbk
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注記
Includes bibliographical references (p. 367-389) and index
内容説明・目次
内容説明
This book integrates the fundamentals of artifical intelligence (AI) approaches to knowledge representation with engineering examples. Its unified treatment makes it an essential tool in this emerging new field. Combining an informed approach to AI with engineering problem solving, this book is suitable for an introductory course on AI/expert systems which is specifically offered to engineers. The text provides an in-depth appreciation of the AI fundamentals underlying knowledge-based systems and covers rule-based, frame-based, and object-oriented representation with many engineering illustrations. Special Features include: discussions of emerging techniques, such as the methodology for integrating AI with CAD; implementation issues including knowledge acquisition, software and hardware issues, the system-building process, validation and testing of expert systems, and some sociological and legal aspects.
目次
Part I: Conceptual Underpinnings. Problem Formulation and Search. Deduction with Formal Logic. Languages for Symbolic Computation. Part II: Implementation Techniques. Rule-Based Representation. Semantic Nets, Frames and Structured Objects. Advanced Topics in Represntation. KBES Architectures for Engineering Applications. Part III: Engineering Applications. Knowledge-based Systems for Classifications. Knowledge-based Systems for Design. Knowledge-based Systems for Planning. The Life Cycle of a KBES.
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