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         Expert Systems Computer:     more books (100)
  1. Working within limitations: Computer aided instruction and expert systems (Report / Scottish HCI Centre) by J. L Alty, 1986
  2. Natural language processing and expert systems (Memoranda in computer and cognitive science) by Jerry T Ball, 1985
  3. MESDUF, microcomputer expert system for diagnosing unit failures: An expert system for solving computer component failures (Technical report. Texas A & M University. Computer Science Dept) by David Hicks, 1985
  4. An artificial intelligence/expert system prototype for computer-based training by Bonnie Jo Buck, 1987
  5. The scope and limitations of first generation expert systems (Memoranda in computer and cognitive science) by D Partridge, 1987
  6. Modelling human expertise in expert systems (Memoranda in computer and cognitive science) by Nancy M Cooke, 1985
  7. YSCOPE: A shell for building expert systems for solving computer-performance problems (Research report RC. International Business Machines Corporation. Research Division) by Joseph Hellerstein, 1985
  8. Computer Aided Electromyography and Expert Systems (Clinical Neurophysiology Updates)
  9. Dworkinian theories of jurisprudence applied to the creation and evaluation of a computer-based legal expert system and its legal knowledge base (Student ... / University of Washington, School of Law) by Pryor A Garnett, 1985
  10. Expert Systems for Personal Computers by Michael Chadwick, John Adrian Hannah, 1986-12-24
  11. Knowledge engineering for industrial expert systems (Strathclyde University computer science report) by G Johannsen, 1989
  12. At the interface of shell built expert systems (Strathclyde University computer science report) by A Brooks, 1987
  13. Expert systems: Newest brainchild of computer science (The Rand paper series) by Ann M Shoben, 1981
  14. Expert systems, decision support systems and computer-assisted instruction for water resource management : January 1985 - June 1993 (SuDoc A 17.18/4:93-62) by Bonnie Emmert, 1993

81. PAD-BASED Expert System In Small Computer
and DelegationBased Approach to Knowledge Organization in expert System Design, computer Applications Symposium on Knowledge- Based systems in Engineering
http://portal.acm.org/citation.cfm?id=326654&dl=ACM&coll=GUIDE&CFID=11111111&CFT

82. [1-3] Bibliography Of Expert Systems Books, Introductions, Documentation, Period
on getting the tech report, or see the later report Bruce Buchanan and Reid Smith, Fundamentals of expert systems , Annual Review of computer Science 3, 2358
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[1-3] Bibliography of Expert Systems books, introductions, documentation, periodicals, and conference proceedings.
This section contains a list of key references and introductions about Production Systems, Expert Systems, and Match Algorithms. For other AI-related books, see part 4 of the AI FAQ. Overviews and Texts: Bruce G. Buchanan and Edward H. Shortliffe, "Rule-Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project", Addison-Wesley, Reading, MA, 1985. The Davis and King paper (chapter 4, "An overview of production systems") provides a good overview. Frederick Hayes-Roth, "The knowledge based expert system: A tutorial", IEEE Computer 17(9):11-28, 1984. Bruce G. Buchanan and R.O. Duda, "Principles of Rule-Based Systems", Tech Report HPP-82-14, 1982. (Discusses the design of expert systems, including representation, inference, and uncertainty management. Examples from numerous specific systems, and discusses which problems are suitable for attack by rule-based systems.) Send email to gsmith@hpp.stanford.edu

83. Expert Systems
The idea behind expert systems is that a computer program can simulate human expertise by manipulating large stores of properly arranged knowledge.
http://www.atarimagazines.com/v3n12/Expert_Systems.html
ANTIC VOL. 3, NO. 12 / APRIL 1985 / PAGE 28
EXPERT SYSTEMS
Antic's first look at artificial intelligence by LARRY LEVITT A doctor types a patient's symptoms into a computer and gets back a list of possible causes ...
An oil geologist supplies the computer with site data and is told the best spot to start drilling ...
A chemist inputs a description of a possible chemical pollutant and the computer identifies the compound ...
These are some of the more common real-world examples of how computers use expert systems software to effectively perform research analysis that could once only be done by highly trained human technical experts.
Expert systems are one of the three areas of artificial intelligence (AI) research. The other two categories are robotics and natural language communication.
The idea behind expert systems is that a computer program can simulate human expertise by manipulating large stores of properly arranged knowledge.
AI researchers divide knowledge into two distinct types. The first type is axioms-facts accepted as indisputable. The second type is rules-which computers have traditionally handled. as If ... Then statements.
For example, a fact might "Socrates is a man." And a relevant rule might be, "If someone is a man . . . Then he is mortal."

84. Begell House Inc. - Books - Expert Systems And Computer Simulation In Energy Eng
This volume contains a selection of papers from the Second International Forum on expert systems and computer Simulation in Energy Engineering, held in Erlangen
http://www.begellhouse.com/books/57bba69f098e2f7c.html
if(location.href != getCookie('back')) setCookie('back', location.href, null, '/'); ITEMS modern scholarly publishers in the finest tradition Books Login Register Home Books Journals A-Z Index Author Index For Our Authors Shopping Cart Contact Electronic Data Center Search
Expert Systems and Computer Simulation in Energy Engineering
K. Hanjalic
Delft University of Technology, Delft, The Netherlands
J. H. Kim
Electric Power Research Institute, Palo Alto, CA

This volume contains a selection of papers from the Second International Forum on Expert Systems and Computer Simulation in Energy Engineering, held in Erlangen, Germany in 1992. Current activities in four areas which form the cornerstones of the field are covered: knowledge basis, assessment and diagnosis, modeling and computations, and expert systems in energy engineering.
345 pages,
ISBN 1-56700-031-2
Price: $147.50 Designed by offsiteteam Begell House Inc.
145 Madison Avenue
New York, NY 10016 TEL (212) 725-1999
FAX (212) 213-8368
orders@begellhouse.com

85. Entrez PubMed
Intelligence*; expert systems*; Female; Human; Male; Psychotherapy*; Sex Disorders/therapy*; Software Design; Support, NonUS Gov t; Therapy, computer-Assisted*; User
http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=3

86. WPI CS Programs Of Study
Subject(s) expert systems (computer science) Interpreters (computer programs) Methods engineeringData processing. Shells (Engineering)Data processing.
http://www.cs.wpi.edu/Programs/theses/MS/1990.html
CS MS Theses - 1990
Main Author: Ashworth, Susan M. Title: Six dimensional interactive user interface techniques for tool path specification and motion monitoring. Subject(s): Computer-aided design. Computer graphics. Engineering designData processing. Three-dimensional display systems. Date: 1990. Description: xii, 180 leaves : ill. ; 28 cm. Notes: Thesis (M.S.)Worcester Polytechnic Institute. Bibliography: leaves 170-180. Department of Computer Science. Main Author: Blomquist, Scott E. Title: MESH : a generic task-specific methods estimation shell. Subject(s): Expert systems (Computer science) Interpreters (Computer programs) Methods engineeringData processing. Shells (Engineering)Data processing. Date: 1990. Description: viii, 92 leaves : ill. ; 28 cm. Notes: Thesis (M.S.)Worcester Polytechnic Institute. Bibliography: leaves 89-92. Department of Computer Science. Main Author: Chen, Doulin B. Title: A suggestion-tree based intelligent interrogator for knowledge about decomposition. Subject(s): Expert systems (Computer science)Decision making. Date: 1990. Description: vii, 80 leaves : ill. ; 28 cm. Notes: Thesis (M.S.)Worcester Polytechnic Institute. Bibliography: leaves 75-78. Department of Computer Science.

87. World-Information.Org
0, 1960s 1970s expert systems Gain Attendance. +1, 1970s computer-Integrated Manufacturing (CIM). +2, Late 1970s - Present Fourth Generation computers.
http://world-information.org/wio/infostructure/100437611663/100438659454?opmode=

88. IEEE Intelligent Systems
The full text of IEEE Intelligent systems is available to computer Society members who have an online subscription and a CS EAccount. Need help?
http://www.computer.org/intelligent/
Contents

May-June 2004
Semantic Web Challenge
What kind of applications can you create with today's Semantic Web techniques? Seven entries from the 2003 Semantic Web Challenge illustrate the answer.
Also in this issue: AI tackles money laundering, helping the Mars rover land, cognitive engineering, and more
The following articles are available without an electronic subscription in PDF or HTML format: From the Editor in Chief
" Plenty of Room at the Bottom " by Nigel Shadbolt
Nanotechnology might be really tiny, but it has big implications for computer science and artificial intelligence.
Feature Article
" CS AKTive Space, or How We Learned to Stop Worrying and Love the Semantic Web ," by Nigel Shadbolt, Nicholas Gibbins, Hugh Glaser, Stephen Harris, and m.c. schraefel
CS AKTive Space lets users quickly determine who’s doing what and where in UK computer science research.

89. IEEE Intelligent Systems
IEEE Intelligent systems IEEE Intelligent systems serves software engineers, systems designers, professionals in finance, manufacturing, medicine, law, geophysical sciences, information managers,
http://rdre1.inktomi.com/click?u=http://computer.org/intelligent/&y=02951462

90. Artificial Intelligence - A CompInfo Directory
evolutionary computation, knowledgebased systems, and artificial intelligence and draw on the advances in neuroscience, cognitive science, and computer science
http://www.compinfo-center.com/tpai-t.htm
CompInfo - The Computer Information Center
The top one-stop reference resource for corporate IT, computers and communications
Millions of IT users world-wide rely on our Web-based support resources
Tell your colleagues and friends, and bookmark us at http://www.compinfo-center.com/ Computer
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Artificial Intelligence - Outline "Artificial Intelligence is a branch of Science which deals with helping machines find solutions to complex problems in a more human-like fashion. This generally involves borrowing characteristics from human intelligence, and applying them as algorithms in a computer friendly way. A more or less flexible or efficient approach can be taken depending on the requirements established, which influences how artificial the intelligent behaviour appears.." Artificial Intelligence Depot Topic Outline KnowledgeBases Newsgroups and FAQs ... Key Training Providers Artificial Intelligence - Knowledge Bases

91. Hames
Tilapia expert System computer Program Now Available to Farmers. The Center for Tropical and Subtropical Aquaculture is pleased to
http://lama.kcc.hawaii.edu/praise/hames/
Tilapia Expert System Computer Program
Now Available to Farmers
The Center for Tropical and Subtropical Aquaculture is pleased to announce that the Hawaii Aquaculture Module Expert System (HAMES) is now available for distribution to farmers. The expert system is a computer software package that offers assistance with diagnosing and treating tilapia diseases and syndromes. The program has five components, including:
  • Review Information, which is divided into the following sections: An Overview of HAMES, Reading Topics, Glossary, Laboratory Methods, Bibliography, Extension Assistance and Vendors;
  • Volume Determination, a utility designed to compute the volume of a wide variety of containers;
  • Solve A Problem, which uses observation and selected water parameter tests to help the tilapia farmer understand diseases that may affect tilapia in Hawaii, is divided into sections titled Field Observations

92. What Is Artificial Intelligence? - A Word Definition From The Webopedia Computer
In the early 1980s, expert systems were believed to represent the future of artificial intelligence and of computers in general.
http://www.webopedia.com/TERM/A/artificial_intelligence.html
You are in the: Small Business Channel Jump to Website ECommerce Guide Small Business Computing Webopedia WinPlanet Enter a word for a definition... ...or choose a computer category. choose one... All Categories Communications Computer Industry Companies Computer Science Data Graphics Hardware Internet and Online Services Mobile Computing Multimedia Networks Open Source Operating Systems Programming Software Standards Types of Computers Wireless Computing World Wide Web Home
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artificial intelligence Last modified: Tuesday, February 10, 2004 The branch of computer science concerned with making computers behave like humans. The term was coined in 1956 by John McCarthy at the Massachusetts Institute of Technology. Artificial intelligence includes
  • games playing: programming computers to play games such as chess and checkers
  • expert systems programming computers to make decisions in real-life situations (for example, some expert systems help doctors diagnose diseases based on symptoms)
  • natural language programming computers to understand natural human languages
  • neural networks Systems that simulate intelligence by attempting to reproduce the types of physical connections that occur in animal brains
  • robotics programming computers to see and hear and react to other sensory stimuli Currently, no computers exhibit full artificial intelligence (that is, are able to simulate human behavior). The greatest advances have occurred in the field of games playing. The best computer chess programs are now capable of beating humans. In May, 1997, an IBM super-computer called
  • 93. Expert System
    expert System. An expert system is a computer program capable of considering a vast body of knowledge, reasoning, and then recommending a course of action.
    http://www.eskimo.com/~mighetto/lsexpert.htm
    Expert System
    An expert system is a computer program capable of considering a vast body of knowledge, reasoning, and then recommending a course of action. The major difference between the modern technology of expert systems versus classical algorithmic techniques is the ability to develop systems that infer answers from complex and incomplete knowledge bases. In other words, just as an acceptable answer although not necessarily the optimal answer can be determined by a human, given incomplete and perhaps unrelated facts, an expert system can be made to choose rational and perhaps multiple answers from a set of rules and facts. Perhaps the easiest description of an expert system comes from Digital Equipment Corporation's XCON. This system is used to configure complex computer systems and was once referred to as R-1 (as in "we are one"). R-1 was the short hand answer to the question " What is an expert system ?" and was developed in 1980. The first expert system was developed by Edward Shortliffe in 1975. The HAL computer of "2001" is a well-known example of a futuristic expert system. The Decision Maker expert system consists of an explanation portion , a knowledge acquisition portion , a database portion , and a report portion Explanation Portion Top Next Prev Bot The explanation portion of the expert system software displays a decision tree to assist the user in determining why a question is being asked or a solution has been identified. The decision tree (explanation ) model for the system can be found in Robert Tannenbaum and Warren Schmidts's work which appeared in Harvard Business Review in 1954, and in the books "Leadership and Decision Making" by Victor Vroom and Philip Yetton from

    94. TU Wien, Institute Of Information Systems, Database And Artificial Intelligence
    Vienna University of Technology, computer Science Department, Institute of Information systems (184), Database and Artificial Intelligence Group (184/2).
    http://www.dbai.tuwien.ac.at/
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    Prof. Georg Gottlob elected full member of the Austrian Academy of Sciences Gottlob gives invited talk at the ACM PODS in Paris and at the IJCAR in Cork. 1.3.2004: Start of REWERSE EU Project of which TU Wien is a member. Jürgen Dorn leads new horizontal head project at Prof. Georg Lausen (Univ. Freiburg) is appointed visiting Professor at our institute and teaches "Semistrukturierte Daten 2" this semester. Jürgen Dorn and Karl Froeschl organize special issue of the International Journal of Electronic Business (IJEB) about ELECTRONIC COMMERCE COMPETENCE CENTER previous announcements... webmaster@dbai.tuwien.ac.at
    Last modified: 2004/05/15

    95. Chp 3: Expert Systems Building Tools: Definitions
    Combined with their early experience in building expert systems on mainframe computers and in integrating expert systems with other systems, Japanese software
    http://www.wtec.org/loyola/kb/c3_s2.htm
    EXPERT SYSTEMS BUILDING TOOLS: DEFINITIONS
    An expert system tool, or shell, is a software development environment containing the basic components of expert systems. Associated with a shell is a prescribed method for building applications by configuring and instantiating these components. Some of the generic components of a shell are shown in Figure and described below. The core components of expert systems are the knowledge base and the reasoning engine.
    Figure 3.1. Basic Components of Expert System Tools
  • Knowledge base: A store of factual and heuristic knowledge. An ES tool provides one or more knowledge representation schemes for expressing knowledge about the application domain. Some tools use both frames (objects) and IF-THEN rules. In PROLOG the knowledge is represented as logical statements. Reasoning engine: Inference mechanisms for manipulating the symbolic information and knowledge in the knowledge base to form a line of reasoning in solving a problem. The inference mechanism can range from simple modus ponens backward chaining of IF-THEN rules to case-based reasoning.
  • 96. Experts Exchange
    Operating systems Linux XWindows Macintosh MS-DOS OS/2 Solaris Unix Windows 2000 Science URLs New Net Users Games, Community Support EE Bugs expert Input New
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    97. Vithoulkas Expert System Software
    the computer never gets tired of starting over and over again, and always maintains the same, total precision. How Does VES Work? The Vithoulkas expert System
    http://www.wholehealthnow.com/homeopathy_software/ves.html
    Let George Vithoulkas
    help you solve your cases Mr. Vithoulkas' work in adapting computerized 'expert systems' to homeopathic case analysis has produced an enormous stride forward. Roger Morrison, MD,
    Founder
    Hahnemann College of Homeopathy With all that I have accomplished, I can say that the Vithoulkas Expert System represents the greatest contribution I've made to Homeopathy. George Vithoulkas
    What Is an Expert System?
    An Expert System is a set of rules that reproduces the thinking of an expert in a given field. It not only recalls data with 100% accuracy, it also processes and evaluates that data according to the methods of the expert. The Vithoulkas Expert System (VES) was created in collaboration with world-renowned master homeopath, George Vithoulkas [ biography ]. VES duplicates his unique thought process in symptom analysis and remedy selection, working with the Synthesis repertory in RADAR VES uses all the principles and understanding that George uses himself, and it does so every second the System is computing. But even more - the computer never gets tired of starting over and over again, and always maintains the same, total precision.
    How Does VES Work?

    98. ThinkQuest : Library : Artificial Intelligence--Oxymoron Or Paradox?
    expert systemAn interactive computer program that helps users with problems that would otherwise require the assistance of human experts, programs that
    http://library.thinkquest.org/19314/glossary.htm
    Index Artificial Intelligence
    Artificial IntelligenceOxymoron or Paradox?
    Can a computer think and reason like a human? Will artificial intelligence help computers replace people? Or does the title tell all? It's only "artificial" and not really smart? This site is a great introduction to artificial intelligence, abbreviated AI. Read about the development of AI and the current research and breakthroughs in the field. Learn how AI has influenced philosophy, cognitive science, neuroscience, and psychology. Explore some real examples of AI and its successes. Visit Site 1998 ThinkQuest Internet Challenge Languages English Students Duong South Hills High School, West Covina, CA, United States Fares South Hills High School, West Covina, CA, United States Coaches Janice South Hills High School, West Covina, CA, United States 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.

    99. What Is An Expert System? ERIC Digest.
    Thus, an expert system shell provides a layer between the user interface and computer operating system to manage the input and output of data.
    http://www.ericdigests.org/pre-9220/expert.htm
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    What Is An Expert System? ERIC Digest.
    Expert systems are computerized tools designed to enhance the quality and availability of knowledge required by decision makers in a wide range of industries. They augment conventional programs such as databases, word processors, and spreadsheet analysis. Expert systems differ from conventional applications software in the following ways: o The expert system shell, or interpreter. o The existence of a "knowledge base," or system of related concepts that enable the computer to approximate human judgment. o The sophistication of the user interface.
    THE EXPERT SYSTEM SHELL
    The shell is often sold as an end-product, allowing the purchaser to encode a knowledge base from scratch the same way a user would purchase a database management system. On the other hand, knowledge bases can be sold as productswhere a shell or interpreter may be an incidental part of the packagein the same way a user might buy data.
    THE KNOWLEDGE BASE
    The main purpose of the knowledge base is to provide the guts of the expert systemthe connections between ideas, concepts, and statistical probabilities that allow the reasoning part of the system to perform an accurate evaluation of a potential problem. Knowledge bases are traditionally described as large systems of "if then" statements, but this description is misleading because knowledge bases may not contain definitive rules at all, but may contain only associative relationships among different concepts, statistical information about the probability of certain solutions, or simply large databases of facts that can be compared to one another based on simple conventions intrinsic to the expert system.

    100. AllRefer Encyclopedia - Expert System (Computers And Computing) - Encyclopedia
    expert system, a computer system or program that uses artificial intelligence techniques to solve problems that ordinarily require a knowledgeable human.
    http://reference.allrefer.com/encyclopedia/E/expertsy.html
    AllRefer Channels :: Health Yellow Pages Reference Weather SEARCH : in Reference June 08, 2004 You are here : AllRefer.com Reference Encyclopedia Computers And Computing ... expert system
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    expert system, Computers And Computing
    Related Category: Computers And Computing expert system, a computer system or program that uses artificial intelligence techniques to solve problems that ordinarily require a knowledgeable human. The method used to construct such systems, knowledge engineering, extracts a set of rules and data from an expert or experts through extensive questioning. This material is then organized in a format suitable for representation in a computer and a set of tools for inquiry, manipulation, and response is applied. While such systems do not often replace the human experts, they can serve as useful adjuncts or assistants. Among some of the successful expert systems developed are INTERNIST, a medical diagnosis tool that contains nearly 100,000 relationships between symptoms and diseases, and PROSPECTOR, an aid to geologists in interpreting mineral data. See A. Bonnet

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