Systems, Experts, and Computers


Book Description

This groundbreaking book charts the origins and spread of the systems movement. After World War II, a systems approach to solving complex problems and managing complex systems came into vogue among engineers, scientists, and managers, fostered in part by the diffusion of digital computing power. Enthusiasm for the approach peaked during the Johnson administration, when it was applied to everything from military command and control systems to poverty in American cities. Although its failure in the social sphere, coupled with increasing skepticism about the role of technology and "experts" in American society, led to a retrenchment, systems methods are still part of modern managerial practice. This groundbreaking book charts the origins and spread of the systems movement. It describes the major players including RAND, MITRE, Ramo-Wooldrige (later TRW), and the International Institute of Applied Systems Analysis—and examines applications in a wide variety of military, government, civil, and engineering settings. The book is international in scope, describing the spread of systems thinking in France and Sweden. The story it tells helps to explain engineering thought and managerial practice during the last sixty years.




Expert Systems for Software Engineers and Managers


Book Description

This book is written for software engineers, software project leaders, and software managers who would like to introduce a new advanced software technology, expert systems, into their product. Expert system technology brings into programming a new dimension in which "rule of thumb" or heuristic expert knowledge is encoded in the program. In contrast to conventional procedural languages {e. g. , Fortran or C}, expert systems employ high-level programming languages {Le. , expert system shells} that enable us to capture the judgmental knowledge of experts such as geologists, doctors, lawyers, bankers, or insurance underwriters. Past expert systems have been more successfully applied in the problem areas of analysis and synthesis where the boundary of lo;nowledge is well defined and where experts are available and can be identified. Early successful applications include diagnosis systems such as MYCIN, geological systems such as PROSPECTOR, or design/configu ration systems such as XC ON. These early expert systems were mainly applicable to scientific and engineering problems, which are not theoreti cally well understood in terms of decisionmaking processes by their experts and which therefore require judgmental assessment. The more recent expert systems are being applied to sophisticated synthesis problems that involve a large number of choices, such as how the elements are to be compared. These problems normally entailed a large search space and slower speed for the expert systems designed. Examples of these systems include factory scheduling applications such as ISIS, or legal reasoning applications such as TAXMAN.




Expert Systems


Book Description

A concise practical introduction to the history, characteristics, structure, operation, and use of expert systems. Provides programmers with sufficient insight and guidance to enable them to construct an expert system shell using a favorite programming language. Shows how to develp and maintain expert systems, and how to tackle technical problems unique to the field. There's also advice on how to access new applications.




An Introduction to Expert Systems


Book Description




Expert Systems


Book Description

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




Expert Systems


Book Description




Introduction to Expert Systems


Book Description




Expert Systems


Book Description

The use of unconventional methods of artificial intelligence is the modern trend in the computer support of the solution of the decision-making methods. These methods are based on the use of knowledge of skilled professionals experts, where this knowledge forms the basis for their high-quality knowledge mental models. Chapter One introduces the expert systems used for the simulation of the decision-making activity of experts when dealing with complex tasks. In terms of theory, the expert knowledge method is used. The introduced expert systems are able to effectively use uncertainties which take their source from inaccurate, incomplete, inconsistent input data, vague concepts of linguistic formulations of the rules, and uncertain knowledge. Chapter Two proposes a solution for heterogeneous data source integration in the information standard formats, based on Rule Based Expert System (RBES) to implement a metadata mining process. Later, it describes the process of automatic modelling in which the proposed RBES support in the data mining technique applications, based on the results of metadata mining process. Finally, it describes the application issues of the proposed solution in real cases. Chapter Three presents ARISTON, which is an integrated mathematical framework with all relevant parameters that constitute a fully automated, structured expert psychometric system for occupational guidance, aiming to identify and retrieve the professions which are nearest to the personality of an individual, while at the same time quantify all nearest neighbouring professions.




Expert Systems: Artificial Intelligence in Business


Book Description

Introduces readers to the basic principles and the exciting promise of a new generation of computer programs known as knowledge or expert systems, and their associated technologies. Explains what they do, how they work, and how they will be used to increase efficiency and productivity. Knowledge systems are computer programs that can help solve problems in the same fashion as human experts. Many studies have concluded that in the course of the next 20 years, knowledge systems will revolutionize the way businesses are conducted, and this book provides a preview of how that revolution will occur.




Artificial Experts


Book Description

An in-depth look at the ordinary and extraordinary things computers can do.