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         Expert Systems Computer:     more books (100)
  1. PREDICTOR - an expert system based computer simulation study by B. G Pedret, 1987
  2. A computer-assisted expert system for interpreting the Consequences of Bioaccumulation in Aquatic Animals (COBIAA) by T. M Dillon, 1991
  3. The potential of computer-based expert systems for special educators in rural settings by James D Parry, 1984
  4. Verifying and Validating Personal Computer-Based Expert Systems by A. Terry Bahill, 1991
  5. Cognitive Engineering in the Design of Human-Computer Interaction & Expert Systems: Proceedings of the Second International Conference, Honolu (Cognitive ... in the Design of Human-Computer Intera)
  6. Computer performance expert system (DISCS publication) by T. S Quah, 1989
  7. Introductory Readings in Expert Systems (Topics in Computer Mathematics,) by D. Michie, 1982-01-01
  8. An Expert Systems Approach to Computer-Aided Design of Multivariable Systems (Lecture Notes in Control and Information Sciences) by Grantham K.H. Pang, Alistair G.J. MacFarlane, 1988-06-24
  9. Business Success: Strategic Unit Comprehensive Computer-Based Expert Support System/Book and Diskettes by Eli Segev, Paul Gray, 1989-10
  10. Designs of Expert Systems on the Personal Computer (Skills for Resolving Conflict) by N. Rajaram, 1985-06
  11. Research and Development in Expert Systems IX (British Computer Society Conference Series) by M. A. Bramer, R. W. Milne, 1993-07-01
  12. Computers in Engineering 1985: Finite Element Methods, Expert Systems, Simulation, Education by International Computers in Engineering Conference and Exhibit, 1985-12
  13. Expert Systems, Decision Support Systems and Computer-Assisted Instruction for Water Resource Management: Bibliography January ©85-June ©93 by Bonnie Emmert, Joseph Makuch, 1993-06
  14. Building Your First Expert System: IBM PC and Compatible Computers/Book and Disk by Tom Nagy, 1985-08

41. Expert System - Wikipedia, The Free Encyclopedia
human reasoning process for that application is just too vast to store in the active memory of a computer. In other applications of expert systems, the nature
http://en.wikipedia.org/wiki/Expert_system
Expert system
From Wikipedia, the free encyclopedia.
An expert system is a class of computer programs developed by researchers in artificial intelligence during the and applied commercially throughout the . In essence, they are programs made up of a set of rules that analyze information , (usually supplied by the user of the system), about a specific class of problems , as well as provide analysis of the problem(s), and, depending upon their design , a recommended course of user action in order to implement corrections Table of contents 1 Type of problems solved by expert systems
2 Application

1 Expert Systems vs. Problem Solving Systems

2 Individuals Involved with Expert Systems
...
edit
Type of problems solved by expert systems
Typically, the problems to be solved are of the sort that would normally be tackled by a human " expert " - a medical or other professional , in most cases. Real experts in the problem domain (which will typically be very narrow, for instance "diagnosing skin diseases in human teenagers ") are asked to provide " rules of thumb " on how they evaluate the problems, either explicitly with the aid of experienced

42. Expert Systems (Computer Scien Systems
expert systems (computer scien systems Search for books at all-computer-books.co.uk. all-computer-books.co.uk.
http://all-computer-books.co.uk/Expert_systems_(Computer_scien_Systems.html

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I want to develop an Expert system prototype in the field of engineering and need to help me in this prospective. My mailing adress is Daniel,Benjamin 14/9,park Avenue, Glenhuntly, Victoria-3163
Written by Leonard Adelman
Published by Wiley-Interscience (December 1991)
ISBN 0471548014
Price $130.00
This book was required for our DSS class. The material is impossibly thick and it can take hours to try to sort through the material.Ok coverage, but you can do a heck of a lot better elsewhere
Written by Efraim Turban Jay E. Aronson
Published by Prentice Hall (November 2000)
ISBN 0130894656 Price $130.00

43. Expert Systems (Computer Scien Ontologies
expert systems (computer scien Ontologies Search for books at all-computer-books.co.uk. all-computer-books.co.uk. computer Vision. expert systems.
http://all-computer-books.co.uk/Expert_systems_(Computer_scien_Ontologies.html

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Written by Steffen Staab Rudi Studer
Published by Springer Verlag (January 2004)
ISBN 3540408347
Price $149.00
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44. Computer Help Desk Expert Systems Software - Software, Hardware
KnowledgeStorm provides free research of computer Help Desk expert systems Software related enterprise software and services. KnowledgeStorm
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45. Introduction
expert systems have been used to solve a wide range of problems in domains such as medicine, mathematics, engineering, geology, computer science, business, law
http://www.cee.hw.ac.uk/~alison/ai3notes/section2_5_1.html
Next: Designing an Expert Up: Expert Systems Previous: Expert Systems
Introduction
So far we have talked alot about how we can represent knowledge, but not so much about how we can use it to solve real practical problems. This section will therefore look at how some of the techniques discussed so far are used in expert systems - systems which provide expert quality advice, diagnoses and recommendations given real world problems. Anyway, expert systems are meant to solve real problems which normally would require a specialised human expert (such as a doctor or a minerologist). Building an expert system therefore first involves extracting the relevant knowledge from the human expert. Such knowledge is often heuristic in nature, based on useful ``rules of thumb'' rather than absolute certainties. Extracting it from the expert in a way that can be used by a computer is generally a difficult task, requiring its own expertise. A knowledge engineer has the job of extracting this knowledge and building the expert system knowledge base A first attempt at building an expert system is unlikely to be very successful. This is partly because the expert generally finds it very difficult to express exactly what knowledge and rules they use to solve a problem. Much of it is almost subconscious, or appears so obvious they don't even bother mentioning it.

46. Participatory Design - Stanford University - Computer Science 201 Final Project
expert systems, also known as knowledgebased systems, are a class of computer program that can advise, analyze, categorize, communicate, consult, design
http://cse.stanford.edu/class/cs201/projects-00-01/participatory-design/esd.html
Abstract Introduction Contacts Competing Strategies History
What is PD?

Political Push

Innovation

Professionals
...
The Developer
Philosophical Perspective
Workers

Design Philosophy
Competing
Strategies

Expert Systems Design

Usability Engeering
Value Senstive Design Expert Systems Design
Expert systems, also known as "knowledge-based systems," are a class of computer program that can advise, analyze, categorize, communicate, consult, design, diagnose, explain, explore, forecast, form concepts, identify, interpret, justify, learn, manage, monitor, plan, present, retrieve, schedule, test, and tutor. These types of systems attempt to remove some of the complexity and skill necessary for certain jobs. Typically, an expert system is capable of explaining its reasoning for the decisions it makes and can "learn" as it gains experience. Of course this learning is not like a human learns. Expert systems will instead employ algorithms and store data using the approaches described in any Artificial Intelligence book.
Benefits of Expert Systems
  • Reduced error due to automation of tedious, repetitive or critical tasks

47. EXPERT SYSTEMS IN AGRICULTURE
The most basic difference of expert systems with that of conventional computer programs is that expert systems manipulate knowledge while conventional programs
http://www.techno-preneur.net/timeis/technology/MaySciTech/AgriExpert.html
EXPERT SYSTEMS IN AGRICULTURE A n "Expert system" is an intelligent computer program that uses knowledge and inference procedures to solve problems that are difficult enough to require significant human expertise for their solution. Expert systems, a recent advance in the use of computers, give advice to professionals and business people in such varied fields as medicine, chemistry, mathematics, finance, insurance, repair of equipment and many others. The application of expert system technology to agriculture seems natural, considering the widespread use of extension agents in the field. Aid from experts, who have encoded their knowledge in computer programs, may help alleviate some of the problems in agriculture. These software programs typically fit into the category of decision support tools. Decision support programs imitate an expert by involving a client in a problem-solving situation, often providing a recommendation in response to a client's request for help in making a decision. Capturing the expertise of retiring life-long experts, whose experience will be lost, is often cited as a primary reason for building an expert system. Ultimately, expert systems have the potential to help farmers run their business more economically. Extension agents may not always be available for consultation or may not be able to optimize economic decisions in a consultative phone conversation if mathematical calculations are required. Expertise gained in the developed countries could also be distributed to developing countries, although resistance to new technology would have to be overcome.

48. IPT - A Virtual Approach - Exoert Systems
peak performance, and does not suffer form personality incompatibilities. A computer expert system, however, is NOT INTELLIGENT.
http://www.wonko.info/cybertext/ai/ai3.htm
Expert Systems
An AI Research Spinoff
AI is a sub-field of Computer science, aimed at producing computer systems (=software and/or hardware) that exhibit 'intelligent' action: - can solve a variety of problems, learn from experience, understand language, interpret visual scenes, and in general behave in a way that could be considered intelligent if observed by a human. These systems contrast to existing (conventional) systems in that they are typically credited with being able to cope with unfamiliar situations, not merely replaying 'recorded' patterns of behaviour
Expert Systems
An 'Expert' is one that can draw upon a comprehensive knowledge about a very specialised field or domain (that is, a restricted but reasonably complete Universe of Discourse). An expert is also very good at solving particular types of problems, restructuring information in such a way that usually divides a problem into smaller, usually more easily solvable parts. An expert can also find multiple solutions, if they are appropriate, and can justify, verify or at least attach some level of certainty to its solution. Human domain specialists (bacteriologists, for example) take many years to train, costing huge amounts of money for a relatively short productive lifespan. Human memory is not precise - that is it can make mistakes, it can forget or confuse one thing with another. Knowledge and reliable experience can take many years to develop, and worse can easily be forgotten with lack of use.

49. Basic Expert Systems
1986. 3. Durkin J. expert systems Catalogue of Applications. Intelligent computer systems, PO BOX 4117, Akron, Ohio, USA, 1993.
http://www.bcsnsg.org.uk/itin08/darling.htm
Basic expert systems
Keith Darlington MSc, MBCS
Senior Lecturer in Knowledge Based Systems.
The Knowledge Based Systems Centre
South Bank University
London
WWW: http://www.scism.sbu.ac.uk/~darlink
Key words: computer science, Diagnosis, Expert system.
Summary
An introduction to the basic concepts of expert systems and the characteristics which distinguish expert systems from conventional software. Some of the emerging uses of the technology that may be useful in the nursing professions are also discussed. Six references. Medical software tools began to emerge during the 1980's, some became known as 'expert systems'. In contrast to conventional software which process data, expert systems process 'knowledge'. For this reason, expert systems are also called ‘Knowledge Based Systems' (KBS). The most well known medical example is MYCIN.' This expert system was developed at Stanford University in 1976 to aid physicians in diagnosing and treating patients with infectious blood diseases caused by bacteria in the blood and meningitis. These diseases can be fatal if not recognised and treated quickly. Many other medical expert systems have followed the success of MYCIN. Other medical examples will be outlined later in the paper. What are expert systems?

50. Expert Systems In Nursing
Key words computer science, expert system, nursing. Summary The basic concepts of expert systems and their possible uses in the
http://www.bcsnsg.org.uk/itin09/darling.htm
Expert systems in nursing
Keith Darlington MSc, MBCS
Senior Lecturer in Knowledge Based Systems
The Knowledge Based Systems Centre, SCISM, South Bank University, 103 Borough Rd., London SE1 0AA EMail: Keithd@sbu.ac.uk
http://www.scism.sbu.ac.uk/~darlink
Key words : computer science, expert system, nursing. Summary The basic concepts of expert systems and their possible uses in the nursing profession were introduced in ITIN Volume 8.4. This paper examines in more detail how expert systems work, and discusses the appropriateness of using expert systems for nursing domains and outlines stages for developing an expert system. It concludes with a review of some expert systems in the nursing domain. The basic architecture of an expert system outlined in the December issue of ITIN identified the two main components of an expert system: the inference engine and the knowledge base containing the domain knowledge usually stored in the form of rules.' Another component, called the user interface, which provides a means of communicating with an expert system is also part of the basic architecture. The relationship between these components is shown in figure 1. The operation of the inference engine The inference engine works by selecting a rule for testing and then checking if the conditions for that rule are true. The conditions may be found from questions to the user, or they may be facts already discovered during the consultation. When the conditions of the rule are found to be true, then the rule conclusion is true. The rule is then said to have 'fired'. This conclusion will then be added to the knowledge base or may be displayed via the user interface for information. For example, consider the following rules taken from a house plant expert system:

51. Peter Jackson: Introduction To Expert Systems
Introduction to expert systems, 3e. Peter Jackson. Harlow, England Addison Wesley Longman, 1999. International computer Science Series.
http://members.aol.com/jacksonpe/music1/introduc.htm
Introduction to Expert Systems, 3e Peter Jackson Harlow, England: Addison Wesley Longman, 1999 International Computer Science Series To order , please click the icon In December 1998, Addison Wesley Longman brought out the 3rd Edition of my expert systems text. This book has been rather a long time in the making, thanks to various relocations, career changes, health problems, and a great deal of goofing off on my part. After writing the 2nd Edition, I quit defense computing in 1992 and returned to academia to teach Expert Systems for the first time since leaving Edinburgh, as well as Artificial Intelligence, Numeric Computation, Symbolic Computation and Parallel Systems. I also taught classes on AI, Expert Systems, CLIPS and Scheme Programming at Singapore Polytechnic in the summer of 1994. These experiences allowed me to troubleshoot the 2nd Edition to some extent, and gave me ideas for improving the pedagogical aspects of the book next time around
The 1st Edition, published in 1986, was arguably the first text written primarily for students, as opposed to researchers or the business world. It covered the basic concepts and techniques of knowledge representation and reasoning.

52. E-J Finder Results
Subjects Containing expert systems (computer Science) . 4 Subjects. expert systems (computer Science). expert systems (computer Science) Design.
http://ejournal.coalliance.org/SubSearcher.cfm?subj=Expert Systems (Computer Sci

53. E-J Miner Results
Titles with the Subject Heading expert systems (computer Science) Research . 1 EJournals. expert systems with Applications. © Copyright
http://ejournal.coalliance.org/SubjTitles.cfm?subj=Expert Systems (Computer Scie

54. MathGuide: Software And Expert Systems
1. Ada Information Clearinghouse AdaIC. Subject Class, computer science. Source Type, Software and expert systems. URL, http//www.adaic.org/.
http://www.mathguide.de/cgi-bin/ssgfi/anzeige.pl?db=math&st=do

55. Information On Expert Systems
The lack of computer skills should not inhibit anyone from using this are published procedures that one can follow to develop expert systems, although rigid
http://www.cas.psu.edu/docs/casdept/expertsystems/esdg/expsystm.htm

56. Computerized 'Expert Systems'
1987, George started to define his ideas with a team that included several homeopathic physicians working in concert with expert System computer analysts.
http://www.wholehealthnow.com/homeopathy_software/expert_systems.html
Computerized 'Expert Systems'
All popular software (word processors, databases, spreadsheets, etc.) contains, retrieves, sorts and handles enormous amounts of information. An Expert System, however, is a type of program that is designed to reproduce the reasoning of an Expert in a given field. There are two basic parts in an Expert System - a database of information, combined with the specific principles needed for decision making.
A Homeopathic Expert System
With the Vithoulkas Expert System, the database is Synthesis, the unique computerized repertory used in RADAR software. In fact, additions have been made to all the chapters of Synthesis by many expert authors, including George Vithoulkas. In order to develop the rules for making decisions, a team of computer scientists and homeopaths needed to translate the principles given by Mr. Vithoulkas into mathematical formulas. They had to establish his exact pattern of decision-making, zeroing in on thousands of rules and sub-rules, so the program would obtain relevant remedy suggestions in every case.
Even the Expert is Amazed
In February 1987, George started to define his ideas with a team that included several homeopathic physicians working in concert with Expert System computer analysts.

57. INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
expert systems are sophisticated computer programs that manipulate knowledge to solve problems Waterman, 1986, p.xvii. Separate knowledge and control
http://accounting.rutgers.edu/raw/aies/www.bus.orst.edu/faculty/brownc/es_tutor/
INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Table of Contents

58. Accounting Expert Systems.
expert systems are computer programs that use captured human knowledge to solve problems that ordinarily require human experts.
http://www.luca.com/cpajournal/old/16458936.htm
The CPA Journal Online
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Accounting expert systems.
by Smith, L. Murphy
    Abstract- Expert systems are problem-solving programs that mimic the way human experts reason. These systems were first developed in the late 1970s as a means of incorporating computers within the managerial decision-making framework. Unlike conventional programs, expert systems approach problems using qualitative analysis in addition to standard quantitative data-oriented analysis. They have since evolved into reliable tools for supervisors and managers and can now be applied to a variety of complex problems. In the financial field, expert systems have been developed for specialized areas such as auditing, tax planning, financial analysis and professional education. While only a handful of these systems can be purchased, many software packages are available for users who may wish to develop managerial decision-making software that is tailored to their needs.

Expert systems have been developed by larger firms and businesses for a variety of applications. While only a few systems can be purchased, packages are available to enable those interested in developing their own. The authors tell what's available.

59. ThinkQuest : Library : ALIVE
expert systems are simply customwritten computer programs that are expert in some narrow problem area, and embody (to a certain extent) a true human
http://library.thinkquest.org/11534/expert.htm
Index Artificial Intelligence
ALIVE
Do you know how smart your computer is? This site may make you wonder. Artificial intelligence is here now, and involves a lot of practical and ethical issues. Learn about genetic algorithms, expert systems, neural networks, and natural language processing. Consider the implications of computers in movies such as The Terminator and 2001: A Space Odyssey (remember HAL?). Learn about Big Blue, IBM's chess-playing computer, and get advice from Eliza, an online therapist. Visit Site 1997 ThinkQuest Internet Challenge Languages English Students Eu Tak Hwa Chong Junior College, Singapore, Singapore Jih Chao Hwa Chong Junior College, Singapore, Singapore Phillip Riccarton High School, Christchurch, New Zealand Coaches Chi Yin Hwa Chong Junior College, Singapore, Singapore Chi Yin Hwa Chong Junior College, Singapore, Singapore Andrew Riccarton High School, Christchurch, New Zealand Want to build a ThinkQuest site? The ThinkQuest site above is one of thousands of educational web sites built by students from around the world. Click here to learn how you can build a ThinkQuest site.

60. Expert Systems, Computer Book Store Featuring 505 Expert Systems, Computer And R
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