Expert Systems For Human Materials And Automation


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Expert Systems for Human, Materials and Automation


Expert Systems for Human, Materials and Automation

Author: Petrică Vizureanu

language: en

Publisher: BoD – Books on Demand

Release Date: 2011-10-10


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The ability to create intelligent machines has intrigued humans since ancient times, and today with the advent of the computer and 50 years of research into AI programming techniques, the dream of smart machines is becoming a reality. The concept of human-computer interfaces has been undergoing changes over the years. In carrying out the most important tasks is the lack of formalized application methods, mathematical models and advanced computer support. The evolution of biological systems to adapt to their environment has fascinated and challenged scientists to increase their level of understanding of the functional characteristics of such systems. This book has 19 chapters and explain that the expert systems are products of the artificial intelligence, branch of computer science that seeks to develop intelligent programs for human, materials and automation.

Expert Systems


Expert Systems

Author: M. Arockiasamy

language: en

Publisher: CRC Press

Release Date: 1992-11-30


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Engineering, medicine, computer science, mathematics, and business all use applications of expert systems for problem solving that would normally require human skill. These expert systems solve varied problems with a similar procedure - so that knowledge of their use in other specialties will inevitably benefit yours. Expert Systems: Applications for Structural, Transportation, and Environmental Engineering provides a comprehensive, concise treatment of knowledge-based expert systems that introduces you to the flavor, concepts, and capacity of this powerful procedure. Expert Systems covers preliminary design of three-dimensional grids, design systems for low rise industrial buildings, preliminary design of frameworks, bridge design systems, and retaining wall design - especially the methodologies for these applications to structural design. The author presents design standards, typical expert systems for construction engineering and management applications, and the underlying concepts of expert systems, emphasizing bridge analysis, rating, and management. He describes the methodology and applications which aid the transportation and highway engineer in planning, design, and operation and addresses several applications in the fields of environmental and water resources engineering. Automation of the advice-giving of experts is used in design, process planning, manufacturing schedule, quality control, and diagnosis by a range of disciplines. Expert Systems increases your awareness of the versatility of expert systems in these disciplines and offers the theory and algorithms you need to use expert systems in design, maintenance, and construction.

Artificial Intelligence and Expert Systems


Artificial Intelligence and Expert Systems

Author: Frederick Wilfrid Lancaster

language: en

Publisher: [Urbana-Champaign] : Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign

Release Date: 1992


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Some of the 12 conference papers presented in this proceedings focus on the present and potential capabilities of artificial intelligence and expert systems as they relate to a wide range of library applications, including descriptive cataloging, technical services, collection development, subject indexing, reference services, database searching, and document delivery. Other papers deal with the underlying design issues of knowledge representation and natural language processing. The papers are; (1) "Artificial Intelligence: What Will They Think of Next?" (Douglas P. Metzler); (2) "Technical Services Processes as Models for Assessing Expert System Suitability and Benefits" (Charles Fenly); (3) "Automated Cataloging: Implications for Libraries and Patrons" (Stuart Weibel); (4)"Interactive Knowledge-Based Systems for Improved Subject Analysis and Retrieval" (Susanne M. Humphrey); (5) "Reference Expert Systems: Foundations in Reference Theory" (James R. Parrott); (6) "Expert Systems at the National Agricultural Library: Past, Present, and Future" (Samuel T. Waters); (7) "User Models for Information Systems: Prospects and Problems" (Christine L. Borgman and Yolanda I. Plute); (8) "Natural Language Processing: Current Status for Libraries" (Amy Warner); (9) "Knowledge Representation in Artificial Intelligence" (Irene L. Travis); (10) "Intelligent Interfaces to Online Databases" (Brian C. Vickery); (11) "Expert Systems in Document Delivery: The Feasibility of Learning Capabilities" (Jaime Pontigo, Ezequiel Tovar-Reyes, Guillermo Rodriquez, and Sergio Ortiz-Gama); and (12) "Walking Your Talk: Why Information Managers Are Not High Tech" (W. David Penniman). An index and brief author biographies conclude the volume; chapters include references. (KRN).