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

A boy & his grandparents live near a cursed wood. the boy longs for a dog - but the ungainly creature found by his grandfatherhardly fits his image of the perfect pet. But then the dog starts to grow human ears!

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.

The vocabulary used with expert systems; Why expert systems?; What is an expert system?; Knowledge-base management and system evolution; Business opportunities offered by expert systems; Linking expert systems to toher software; The construction of expert systems; Verifying suitability of tasks for expert system support; Building expert systems; The expert system life cycle; Expert system construction requirements; Tools for building expert systems; Languages; Expert system shells; Commercial expert system shells; Hardware for expert systems; Construction strategies; development of a personal computer expert system; How ro select the right tools; The future of expert system technology; Index.

This book provides a comprehensive presentation of artificial intelligence (AI) methodologies and tools valuable for solving a wide spectrum of engineering problems. What's more, it offers these AI tools on an accompanying disk with easy-to-use software. Artificial Intelligence and Expert Systems for Engineers details the AI-based methodologies known as: Knowledge-Based Expert Systems (KBES); Design Synthesis; Design Critiquing; and Case-Based Reasoning. KBES are the most popular AI-based tools and have been successfully applied to planning, diagnosis, classification, monitoring, and design problems. Case studies are provided with problems in engineering design for better understanding of the problem-solving models using the four methodologies in an integrated software environment. Throughout the book, examples are given so that students and engineers can acquire skills in the use of AI-based methodologies for application to practical problems ranging from diagnosis to planning, design, and construction and manufacturing in various disciplines of engineering. Artificial Intelligence and Expert Systems for Engineers is a must-have reference for students, teachers, research scholars, and professionals working in the area of civil engineering design in particular and engineering design in general.

In this book, the authors present rule-based programming in CLIPS (a rule-based programming language developed at NASA in part by Gary Riley). This book covers the construction of expert systems using rule-based programming methodologies. In this new edition the CLIPS software has been completely updated from version 4.2 to 6.0 and new CLIPS features have been included. The prerequisites are a structured programming and a data structures courses.