Computing Methodologies -- Artificial Intelligence.

Presents a step-by-step methodology for designing expert systems. Each chapter on design methodology starts with a problem and leads the reader through the design of a system which solves that problem.

The material in this book was used in both undergraduate and graduate courses in expert systems. The introduction and overview contains sufficient information to provide the mature student with the background to select tools for class projects. This is followed by an overview of symbolic programming languages and introduction to object-oriented programming, then continues with the concepts and language structures used in designing knowledge sources composed of knowledge bases and inference engines.

The most popular basic introduction to Expert Systems is revised and updated to include new information on blackboard systems and has extended coverage of reasoning.

The first book to discuss efficient ways to implement the systems currently being developed--written by the co-author of Expert Systems: Artificial Intelligence in Business, generally regarded as the best non-technical guide to expert systems for business people. Gives innovative ideas for using expert systems to facilitate business operations. Appropriate as a text or supplement for data base, decision support, or special-topic courses that cover expert systems. Clearly explains new applications of automatic decision-making in management, sales, operations, programming, research, and service industries. Text supported by extensive examples and graphs.