Download Free Developing And Managing Expert Systems Book in PDF and EPUB Free Download. You can read online Developing And Managing Expert Systems and write the review.

Managing Expert Systems explores the trends in expert systems development and implementation. As top authorities in the field of ES, Turban and Liebowitz examine the factors that contribute to the development of a successful expert system.
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.
Presents a practical, step-by-step approach to developing and managing expert systems in business and industry.
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.
Computer science textbook, computer programming, knowledge processing (data processing) - evaluation and design of expert systems. Bibliography, glossary, illustrations.
This book describes the technology behind an emerging revolution in software - the expert system revolution.
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
This report was prepared to assist managers in the risk-managed application of expert systems (ES) technology. Two problems that have frustrated managers and technicians who might otherwise be interested in exploring ES solutions are the seeming lack of a software engineering discipline for creating and maintaining expert systems and the fact that the software development risks associated with expert systems have not been clearly addressed. This guide focuses on ES development as a software engineering endeavor and emphasizes that, as such, it should be subject to much the same discipline as conventional automated information system software. The guide is meant to be used in conjunction with accepted software development methods and standards, such as Department of Defense (DOD) Standards 2167A and 7935.1, DOD Directive 7920.1, DOD Instruction 7920.2, and the OSD Major Automated System Review Council (MAISRC) Guidelines for Program Managers. This document presents a step-by-step guideline that addresses the managerial and technical risks of each phase in the software development life cycle of systems that contain ES components.