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Expert Systems Computer:     more books (100)

Computers As Experts?: On the Nonexistence of Expert Systems (Psychologie Des Entscheidungsverhaltens Und Des Konfliktes, Bd 5) by Harald A. Mieg, 1993-01 Current Issues In Expert Systems (International Lecture Series in Computer Science) by Author Unknown, 1988-02-11 Expert Systems: A Practical Introduction (Computer Science) by Peter S. Sell, 1985-05 Designs of Expert Systems on the Personal Computer (Skills for Resolving Conflict) by N. Rajaram, 1985-06 Research and Development in Expert Systems III : Proceedings of the 6th Technical Conference of the BCS Specialist Group on Expert Systems III (British Computer Society Workshop Ser.) by Max A. (editor) Bramer, 1987-01-01 Business Success: Strategic Unit Comprehensive Computer-Based Expert Support System/Book and Diskettes by Eli Segev, Paul Gray, 1989-10 Applications and Innovations in Expert Systems VI: Proceedings of ES98, the Eighteenth Annual International Conference of the British Computer Society ... on Expert Systems, Cambridge, December 1998 Computers in Engineering 1985: Finite Element Methods, Expert Systems, Simulation, Education by International Computers in Engineering Conference and Exhibit, 1985-12 Expert Systems, Decision Support Systems and Computer-Assisted Instruction for Water Resource Management: Bibliography January c85-June c93 by Bonnie Emmert, Joseph Makuch, 1993-06 Expert Judgment and Expert Systems (NATO ASI Series / Computer and Systems Sciences) Building Your First Expert System: IBM PC and Compatible Computers/Book and Disk by Tom Nagy, 1985-08 The Cri Directory of Expert Systems by Godfrey Smart, 1986-12 Computer-Aided Materials Selection During Structural Design by Committee on Application of Expert Systems to Materials Selection During Structural Design, Commission on Engineering and Technical Systems, et all 1995-04-03 Knowledge Engineering: Knowledge engineering, Knowledge, Computer, Expert, Softwareengineering, Computer science, Artificial intelligence,Database, ... Expert system, Decision support system

lists with details

61. Professor Hubert Dreyfus
    masters and programmed a computer to follow these rules. The resulting checkers program is not only the first and one of the best expert systems ever built; it  
    http://ist-socrates.berkeley.edu/~hdreyfus/html/paper_socrates.html
    
    Extractions: Stuart E. Dreyfus It has been half a century since the computer burst upon the world along with promises that it would soon be programmed to be intelligent, and the related promise or threat that we would soon learn to understand ourselves as computers. In 1947 Alan Turing predicted that there would be intelligent computers by the end of the century. Now with the millennium only three years away, it is time for a retrospective evaluation of the attempt to program computers to be intelligent like HAL in the movie 2001. Actual AI research began auspiciously around 1955 with Allen Newell and Herbert Simon's work at the RAND Corporation. Newell and Simon proved that computers could do more than calculate. They demonstrated that computers were physical symbol systems whose symbols could be made to stand for anything, including features of the real world, and whose programs could be used as rules for relating these features. In this way computers could be used to simulate certain important aspects intelligence. Thus the information-processing model of the mind was born. But, looking back over these fifty years, it seems that theoretical AI with its promise of a robot like HAL appears to be a perfect example of what Imre Lakatos has called a "degenerating research program". A degenerating research program is one that starts out with a successful approach to a new domain, but which then runs into unexpected problems it cannot solve, and is finally abandoned by its practitioners. Newell and Simon's early work on problem solving was, indeed, impressive, and by 1965 Artificial Intelligence had turned into a flourishing research program, thanks to a series of micro-world successes such as Terry Winograd's SHRDLU, a program that could respond to English-like commands by moving simulated, idealized blocks. The field had its own Ph.D. programs, professional societies and gurus. It looked like all one had to do was extend, combine, and render more realistic the micro-worlds and one would have genuine artificial intelligence. Marvin Minsky, head of the M.I.T. AI Laboratory, predicted in 1967 that "within a generation the problem of creating `artificial intelligence' will be substantially solved."

62. DEXA
    10th International Workshop on Database expert systems Applications, Florence, Italy, 13 September, 1999, Proceedings. IEEE computer Society, 1999, ISBN 0  
    http://www.informatik.uni-trier.de/~ley/db/conf/dexa/

63. IBM Technical Journals
    An experimental computer architecture supporting expert systems and logic programming. by H. Diel, N. Lenz, H. M. Welsch. This paper  
    http://domino.research.ibm.com/tchjr/journalindex.nsf/0/9b6c0a4aa2707d3c85256bfa

64. IBM Technical Journals
    Volume 30, Number 1, Page 14 (1986) Knowledge systems. Full article arrowPDF, arrowCopyright info. A continuous realtime expert system for computer operations.  
    http://domino.research.ibm.com/tchjr/journalindex.nsf/0/e8fda97988a5350385256bfa

65. The Use Of Expert Systems In Conservation
    Wilcock, JD 1985. A review of expert systems, their shortcomings, and their possible applications in archaeology , computer Applications in Archaeology 1985  
    http://radio.weblogs.com/0101842/stories/2003/06/01/theUseOfExpertSystemsInConse
    
    Extractions: My Blogger Weblog Click on the envelope to email me The Use of Expert Systems in Conservation Author: Lida Liberopoulou What is an Expert System? Expert systems appeared in the mid-seventies and so far have been the most successful branch of Artificial intelligence (AI). They are programs, which use non-numerical domain-specific knowledge to solve problems with the competence comparable to that of a human expert. The knowledge they contain can handle problems of a very specific nature and because it is non-numeric it is often not exact, in the same way that a human's knowledge is imperfect. Expert systems are used when obtaining precise knowledge to determine a situation is very difficult or time consuming and reliable results can be obtained by following 'rules of thumb'. Example of such a rule would be: IF the animal is warm blooded and purrs THEN the animal is a cat It is not necessary to do a complete physiological analysis of the animal to determine if it's a cat, a small number of carefully selected characteristics can give a relatively accurate result. The program simply requires the user to input the relevant information that will enable it to give an answer. In this case the program would reach its conclusion by asking the user a series of questions e.g. Is the animal warm blooded? Does it purr?

66. Expert System Languages
    McDermott implemented a rulebased configurer of VAX computer systems for Digital development of a number of additional, substantial expert systems using OPS5  
    http://www.haley.com/RuleLanguages.html
    
    Extractions: Business Rules Rule Languages Production Systems Rete Algorithm Rule-based Languages for Expert Systems Surprisingly, most rule languages used in developing expert systems have a common origin in the "Official Production Systems" developed during the seventies at Carnegie Mellon University by several PhD students of Dr. Allen Newell. OPS5 from Carnegie Mellon University OPS5 was the first production system language based on the Rete Algorithm and the first AI language to succeed in commercial application when Dr. John McDermott implemented a rule-based configurer of VAX computer systems for Digital Equipment Corporation. R1 was originally implemented in Lisp but was later ported to a Bliss version of OPS5 for performance reasons, after which DEC renamed R1 to XCON. XCON was tremendously successful and led to the development of a number of additional, substantial expert systems using OPS5, several of which were implemented by Paul Haley. ART from Inference Corporation In 1984, Paul Haley, joined Inference Corporation where he became Chief Scientist while directing the development of the Automated Reasoning Tool (ART) and implement its inference engine.

67. Development Of Integrated Criminal Justice Expert System Applications
    problems. expert systems are computer programs that perform at the level of a human expert, typically in a `narrow field. For instance  
    http://ai.bpa.arizona.edu/COPLINK/publications/develop/developm.html
    
    Extractions: Introduction Existing Systems The Phoenix Police Department is either using or installing a number of criminal justice information systems (CJIS). The summaries below give examples of the types of systems that might be integrated for substantial benefit to the law enforcement community: CAPRI - Computer-Aided Police Records Index - manages criminal history information at a local and regional level. Queries can be initiated on-site, from remote terminals, and from in-vehicle mobile data terminals. Data includes criminal histories, incident report references, name indexes, fingerprint classifications, personal identification numbers, subject demographic information and violence potential [23]. CAPRI is the forerunner of PACE, described below.

68. IMHOFAQ: Expert Systems And Cyc
    So once again, the Aristotleproblem is the real hurdle to expert-system development how do you concisely represent knowledge in a computer memory?  
    http://www.robotwisdom.com/ai/cyc.html
    
    Extractions: [Up: imhofaq] [Site map] [Prior: hardware] [Robot Wisdom home page] NEW Aug2000: unabridged Cyc links The history of AI has shown a gratifying series of successes in the realm of expert systems, all thru the 60s, 70s, and 80s. The idea of expert systems is that expertise involves logical thinking, and can be modelled by compiling lists of logical propositions and performing logical transformations upon them. This might be called the "Euclidean (or geometric) model", implying a small set of axioms from which a wide range of theorems are then generated. An alternative view might be called the "proverbs model". By this view, natural selection, over the course of geologic eons, has introduced millions of genetically-programmed details into the human nervous system, anticipating particular sorts of survival-challenges that may arise, and venturing effective ways of reacting to them. Compared to Euclid's geometry, there will be many more 'axioms' and relatively fewer 'theorems', so the logic will probably be comparatively trivial almost all the expertise will be in the data structures (and their contents). So once again, the Aristotle-problem is the real hurdle to expert-system development how do you concisely represent

69. PC AI - Expert Systems
    Aion Intelligent Components, Technical Overview of the Aion product from computer Associates. Artificial Intelligence / expert systems of AAA, America  
    http://www.pcai.com/web/ai_info/expert_systems.html

70. Scout Report Archives
    Browse Resources. Browse Resources. expert systems (computer science). (1 classification) (1 resource). Classifications. Research grants.  
    http://scout.wisc.edu/Archives/SPT--BrowseResources.php?ParentId=919

71. Expert Systems For Civil Engineers: Integration Issues
    Iris D. Tommelein, Editor and expert systems and Artificial Intelligence Committee of the ASCE Technical Council on computer Practices.  
    http://www.pubs.asce.org/BOOKdisplay.cgi?9700262

72. A Pragmatic Legal Expert System: Bibliographical Details
    expert systems (computer science) Australia. Law AustraliaMethodologyData processing. expert systems (computer science) Australia.  
    http://cs.anu.edu.au/software/shyster/book/biblio.html
    
    Extractions: ISBN 1 85521 739 2. Call number: N 340.1 P831 Author: Popple, James, 1964- Title: A pragmatic legal expert system / James Popple. Published: Aldershot, U.K. : Dartmouth, 1996. Brookfield, Vt. : Dartmouth Publishing, 1996. Description: xvii, 384 p. : ill. ; 24 cm. Subject: SHYSTER. Law MethodologyData processing. Law Interpretation and constructionData processing. Expert systems (Computer science) Australia. Law AustraliaMethodologyData processing. Notes: Includes bibliographical references and index. Series: Applied legal philosophy Holdings: N 340.1 P831 N copy (hbk.) * ISBN: 1855217392 m Shelfmark: YC.1996.b.5118 Author: Popple James 1964- Title: A pragmatic legal expert system James Popple Publisher: Aldershot Dartmouth 1996 Subject (LCSH): Law Subject (LCSH): Expert systems (Computer science) Subject (Compass): Law Use of Computers

73. COMP 275: Syllabus (UNC-CH Computer Science)
    oriented representations (1); expert systems architectures (1); Neural networks (3); Student projects (6); Guest lectures (3). Department of computer Science Campus  
    http://www.cs.unc.edu/Admin/Courses/descriptions/275.html
    
    Extractions: The last offering of this course used the FLEX expert systems shell. We are switching from FLEX to CLIPS because of problems we had with FLEX. CLIPS is a forward-chaining production system written in ANSI C by NASA. CLIPS is being used by over 5,000 users throughout the public and private community. Another change in the course is that the second and third class meetings (January 12 and 17) will be devoted to viewing the video "Intelligent Systems", featuring the following lectures: This video will give a general introduction to the (sometimes controversial) field of artificial intelligence. There will be 4-6 homework assignments, an exam somewhere near the middle of the course, and a project. The grade will be based approximately 30 % on the homework, 30 % on the exam, and 40 % on the project, which will typically be the implementation of an expert system in some area using CLIPS. This can be done by groups of 2-3 students or by individual students, according to preference. Possible areas of application will be presented. My areas of research include theorem proving and logic programming, so there may be possible thesis topics on the relationships of these areas to expert systems. I'm really interested to see how much of an expert system can be done by a powerful general theorem prover.

74. Category 'Expert Systems (Computer Science)' (ISBNdb.com)
    ISBN Title Most Popular. Top Library Structure Library of Congress Subject Headings expert systems (computer science). SubCategories.  
    http://isbndb.com/d/category/expert_systems_computer_science.html

75. Fuzzy Sets And Expert Systems Course - RPI, Fall 00
    Course ECSE 6710 Fuzzy Sets and expert systems in computer Engineering. COURSE INFORMATION. · Notifications Read the latest news.  
    http://www.rpi.edu/~bonisp/fuzzy-course/2000/course00.html

76. 1 Introduction
    1.1 expert systems. expert systems are computer applications which embody some nonalgorithmic expertise for solving certain types of problems.  
    http://www.amzi.com/ExpertSystemsInProlog/01introduction.htm
    
    Extractions: Over the past several years there have been many implementations of expert systems using various tools and various hardware platforms, from powerful LISP machine workstations to smaller personal computers. The technology has left the confines of the academic world and has spread through many commercial institutions. People wanting to explore the technology and experiment with it have a bewildering selection of tools from which to choose. There continues to be a debate as to whether or not it is best to write expert systems using a high-level shell, an AI language such as LISP or Prolog, or a conventional language such as C. This book is designed to teach you how to build expert systems from the inside out. It presents the various features used in expert systems, shows how to implement them in Prolog, and how to use them to solve problems. The code presented in this book is a foundation from which many types of expert systems can be built. It can be modified and tuned for particular applications. It can be used for rapid prototyping. It can be used as an educational laboratory for experimenting with expert system concepts. 1.1 Expert Systems

77. CSU Chico - Engineering, Computer Science, & Technology - CSUC ECST Computer Sci
    limitations of knowledgebased systems and expert systems. the integration of hybrid intelligent systems for data computer Organization and Architecture, 2%, 1.  
    http://www.ecst.csuchico.edu/__depts/csci/Course_Offerings/Syllabi/CSCI_222.html
    
    Extractions: Students will study/investigate the history of knowledge-based systems, along with their underlying techniques and methodologies, and the potential future and direction of such systems and their applications. (I) Students will learn how to design, implement, and analyze knowledge-based systems, esp. via expert systems using expert system shells. (I) Students will develop a fundamental understanding of the applicability of knowledge representation; inferencing; resolution; and retreival techniques, relative to problems/situations requiring non-standard solutions. (I)

78. Athabasca University: Course Syllabus, Computer Science 456
    computer Science (COMP) 456 Artificial Intelligence and expert systems Through PROLOG. Delivery mode Individualized study online. Credits 3 Science.  
    http://www.athabascau.ca/html/syllabi/comp/comp456.htm
    
    Extractions: Note: Students who are concerned about not meeting the prerequisites for this course are encouraged to contact the course coordinator before registering. Computer Requirements: CCIS Software and Hardware Requirements Centre: Centre for Computing and Information Systems Course Sample: Comp 456 Sample Challenge for Credit: COMP 456 has a Challenge for Credit option Overview Outline Evaluation Course Materials ... Course Availability The course deals with two broad topics: PROLOG programming language and artificial intelligence (with special attention to expert systems). The course starts by introducing PROLOG, how it works, how programs are developed, techniques to handle complex data structures, built-in procedures, techniques of good programming, and techniques used in artificial intelligence. Then the course delves into some central areas of artificial intelligence such as expert systems, natural language processing, machine learning, and game playing. Throughout the course, the student will frequently be required to work with examples.

79. Civil Engineering Bookstore -- Books On Computer Expert Systems
    expert systems Principles and Programming Author(s) Joseph C. Giarratano Average Customer Rating Availability Usually ships within 24 hours  
    http://www.civilbookstore.com/index/page/1/keyword/computer_expert_systems.html
    
    Extractions: Home Calculators Handhelds Software ... Tools The lowest priced and most extensive civil engineering bookstore on the Internet. View Cart Home Help About Us Keyword Author ISBN Advanced Search Architectural Engineering Bridge Engineering Construction ... Transportation Engineering Enter your Name and E-mail address below to receive our monthly civil engineering newsletter. Name: E-mail:

80. Target : Entertainment : Books : Computers & Internet : Computer Science : Artif
    computerAided Verification of Coordinating Processes by Robert P Probabilistic Networks and expert systems (Statistics for Engineering and Information Science  
    http://www.target.com/gp/browse.html?node=3890

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