Expert Systems Six Volume Set

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!

This six-volume set presents cutting-edge advances and applications of expert systems. Because expert systems combine the expertise of engineers, computer scientists, and computer programmers, each group will benefit from buying this important reference work. An "expert system" is a knowledge-based computer system that emulates the decision-making ability of a human expert. The primary role of the expert system is to perform appropriate functions under the close supervision of the human, whose work is supported by that expert system. In the reverse, this same expert system can monitor and double check the human in the performance of a task. Human-computer interaction in our highly complex world requires the development of a wide array of expert systems. Expert systems techniques and applications are presented for a diverse array of topics including Experimental design and decision support The integration of machine learning with knowledge acquisition for the design of expert systems Process planning in design and manufacturing systems and process control applications Knowledge discovery in large-scale knowledge bases Robotic systems Geograhphic information systems Image analysis, recognition and interpretation Cellular automata methods for pattern recognition Real-time fault tolerant control systems CAD-based vision systems in pattern matching processes Financial systems Agricultural applications Medical diagnosis

The new edition of this market-leading text builds upon the blend of expert systems theory and application established in earlier editions. The first half of the book concentrates on the theoretical base of expert systems, and offers a broad overview of Artificial Intelligence and its relation to expert systems. The second half of the text focuses on application, with the introduction of the CLIPS expert systems tool, and its new object-oriented language, COOL. All chapters end with an extensive problem set designed to reinforce knowledge.

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 34. Chapters: Expert system, Jess, Rete algorithm, Dendral, Split Up, Reasoning system, Shyster, Production system, SHINE Expert System, Expert systems for mortgages, Mycin, Business rules engine, Inference engine, Backward chaining, Internist-I, Validis, Global Infectious Disease Epidemiology Network, CLIPS, Forward chaining, Xcon, EGanges, OpenKBM, CADUCEUS, STD Wizard, Rog-O-Matic, Cleverpath AION Business Rules Expert, PROPHET system, FuzzyCLIPS, JSR 94, Explanation facility, Explanation module, Illyria. Excerpt: An expert system is software that uses a knowledge base of human expertise for problem solving, or to clarify uncertainties where normally one or more human experts would need to be consulted. Expert systems are most common in a specific problem domain, and are a traditional application and/or subfield of artificial intelligence (AI). A wide variety of methods can be used to simulate the performance of the expert; however, common to most or all are: 1) the creation of a knowledge base which uses some knowledge representation structure to capture the knowledge of the Subject Matter Expert (SME); 2) a process of gathering that knowledge from the SME and codifying it according to the structure, which is called knowledge engineering; and 3) once the system is developed, it is placed in the same real world problem solving situation as the human SME, typically as an aid to human workers or as a supplement to some information system. Expert systems may or may not have learning components. Expert systems were introduced by researchers in the Stanford Heuristic Programming Project, including the "father of expert systems" Edward Feigenbaum, with the Dendral and Mycin systems. Principal contributors to the technology were Bruce Buchanan, Edward Shortliffe, Randall Davis, William vanMelle, Carli Scott, and others at Stanford. E...

Intelligent systems, or artificial intelligence technologies, are playing an increasing role in areas ranging from medicine to the major manufacturing industries to financial markets. The consequences of flawed artificial intelligence systems are equally wide ranging and can be seen, for example, in the programmed trading-driven stock market crash of October 19, 1987. Intelligent Systems: Technology and Applications, Six Volume Set connects theory with proven practical applications to provide broad, multidisciplinary coverage in a single resource. In these volumes, international experts present case-study examples of successful practical techniques and solutions for diverse applications ranging from robotic systems to speech and signal processing, database management, and manufacturing.

This book discusses strategies and tactics for creating robust production applications. It addresses those general principles for success that will not become outdated as new products are released and application areas expand. Strategies and guidelines are emphasized rather than extensive documentation of existing implementations. The discussion includes a broad analysis of leading and emergent shell tools, tool sets, environments, and symbolic programming languages within the context of examining generic expert system development tool features.