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

Home Courses Selected Papers Selected Books ... UC Berkeley From Socrates to Expert Systems: The Limits and Dangers of Calculative Rationality Hubert L. Dreyfus 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/

Database and Expert Systems Applications (DEXA) DEXA Home Page EC-Web 15. DEXA 2004: Zaragoza, Spain 14. DEXA 2003: Prague, Czech Republic Werner Retschitzegger (Eds.): Database and Expert Systems Applications, 14th International Conference, DEXA 2003, Prague, Czech Republic, September 1-5, 2003, Proceedings. Lecture Notes in Computer Science 2736 Springer 2003, ISBN 3-540-40806-1 Contents 14th International Workshop on Database and Expert Systems Applications (DEXA'03), September 1-5, 2003, Prague, Czech Republic. IEEE Computer Society 2003 Contents 13. DEXA 2002: Aix-en-Provence, France Abdelkader Hameurlain Rosine Cicchetti (Eds.): Database and Expert Systems Applications, 13th International Conference, DEXA 2002, Aix-en-Provence, France, September 2-6, 2002, Proceedings. Lecture Notes in Computer Science 2453 Springer 2002, ISBN 3-540-44126-3 Contents 13th International Workshop on Database and Expert Systems Applications (DEXA 2002), 2-6 September 2002, Aix-en-Provence, France. IEEE Computer Society 2002, ISBN 0-7695-1668-8 Contents 12. DEXA 2001: Munich, Germany

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

Lida's Weblog A Greek Weblog. We are few but we are loud! Home Ego Trip F.A.Q. Expert Systems in Archaeological Conservation Java Stuff Archaeological weblogs The company I work for GreekAds ... 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

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

Development of Integrated Criminal Justice Expert System Applications Kevin J. Lynch, M.S., Artificial Intelligence Group Management Information Systems Department University of Arizona Tucson, Arizona Frank J. Rodgers, B.S. Latent Print Section Supervisor Laboratory Bureau Phoenix Police Department Phoenix, Arizona 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

[Up: imhofaq] [Site map] [Prior: hardware] [Robot Wisdom home page] Expert systems and CYC 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

Where Intelligent Technology Meets the Real World Home Contents Search News ... Contact PC AI Expert Systems Overview Most expert systems are developed via specialized software tools called shells. These shells come equipped with an inference mechanism (backward chaining, forward chaining, or both), and require knowledge to be entered according to a specified format (all of which might lead some to categorize OPS5 as a shell). They typically come with a number of other features, such as tools for writing hypertext, for constructing friendly user interfaces, for manipulating lists, strings, and objects, and for interfacing with external programs and databases. These shells qualify as languages, although certainly with a narrower range of application than most programming languages. For more detailed information on expert system shells, see the "Expert System Shells at Work" series by Schmuller PC AI, (1991, 1992). Glossary Link Expert Systems SUBMIT YOUR SITE To Distributed Computing To Fuzzy Logic Expert Systems Information on the Internet ACACIA-Knowledge Acquisition for Explainable, Multi-Expert Systems

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

Skip Navigation ANU Home Search ANU Search FEIT Faculty of Engineering and Information Technology (FEIT) Department of Computer Science Bibliographical details James Popple A Pragmatic Legal Expert System Applied Legal Philosophy Series Dartmouth (Ashgate) , Aldershot May 1996 ISBN 1 85521 739 2. National Library of Australia catalogue 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.) * British Library catalogue 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

Search our Site ON THIS PAGE: Course Objectives Prerequisites Approach Typical Text ... Course Outline COMP 275: Expert Systems (3 hours) Course Objectives Introduce research topics in Expert Systems. Prerequisites COMP 202. Approach 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: Mind as Society, by Marvin Minsky Expert Systems, by Feigenbaum and Nii Artificial Intelligence, by John McCarthy Infinity and the Mind, by Rudy Rucker 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

Home Categories Authors Series Libraries Publishers Help Data My Account Login Logout ISBN: Title: Most Popular Top Library Structure Library of Congress Subject Headings Expert systems (Computer science) Sub-Categories Addresses, essays, lectures Bibliography Case studies Congresses ... more sub-categories Books in this Category Build your own expert system Build your own expert system : for the IBM PC and compatibles Chris Naylor Publisher: Wilmslow, Cheshire, U.K. : Sigma Technical Press ISBN: 1-85058-071-5 The Prentice Hall guide to expert systems Robert A. Edmunds Publisher: Englewood Cliffs, N.J. : Prentice Hall ISBN: 0-13703-241-2 Advanced students' guide to expert systems Gary Marshall Publisher: Oxford : Heinemann Newnes ISBN: 0-43491-306-5 Advances in artificial intelligence Advances in artificial intelligence: natural language and knowledge-based systems Martin Charles Golumbic , editor Publisher: New York : Springer-Verlag ISBN: 0-38797-355-9 Advances in artificial intelligence Advances in artificial intelligence: natural language and knowledge-based systems Martin Charles Golumbic , editor Publisher: New York : Springer-Verlag ISBN: 3-54097-355-9 Advances in logic programming and automated reasoning edited by Ralph W. Wilkerson

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

Course ECSE 6710 Fuzzy Sets and Expert Systems in Computer Engineering COURSE INFORMATION Notifications Read the latest news. Course Syllabus (ABET description). Course Coverage by lectures Lecture Date Topics Covered Lecture Date Topics Covered Administrative Notes Course Outline Introduction to FL (in LOW Probability vs. Fuzzy Logic Inference Mechnanisms Generalized Modus Ponens Extension Principle ... Linguistic Approach (in LOW Linguistic Approach Fuzzy Logics Linguistic Approximation Programming Assignment #1 ... Case Based Reasoning FINAL PROJECT DUE Project Information Sample List of Past Projects Project Requirements Course Notes Administrative, Grading, Project, and Outline Information Fuzzy sets and Soft Computing related URLs Useful URLs for additional information about Fuzzy Logic Author: Piero P. Bonissone bonissone@crd.ge.com Bonissone Home Page at RPI GE CRD Information Technology Laboratory General Electric Co.

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

1 Introduction 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

ECT Home Page ECT Computing Campus Resources Computer Science ... Distance Program CSCI 222: Expert Systems Prerequisites: Grade of C or above in CSCI 15B Catalog Description: The basic concepts and techniques of current expert systems technology. Emphasis is on Expert System Shells and their use for specific applications. Use of the AI languages Lisp or Prolog for expert systems applications may be included. 3 units. Course Objectives: The primary objective of this course is to provide the student with up-to-date state-of-the-art tools, applications, and techniques for knowledge discovery and knowledge engineering, using intelligent methods. Specifically: 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

Computer Science (COMP) 456 Artificial Intelligence and Expert Systems Through PROLOG Delivery mode: Individualized study online Credits: 3 - Science Prerequisite: MATH 215 COMP 272 , and COMP 361 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 Overview 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

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: The Data Warehouse Lifecycle Toolkit : Expert Methods for Designing, Developing, and Deploying Data Warehouses Author(s): Ralph Kimball Laura Reeves Margy Ross Average Customer Rating: Availability: Usually ships within 24 hours List Price: Save: Our Price: Used: Expert Systems: Principles and Programming Author(s): Joseph C. Giarratano Average Customer Rating: Availability: Usually ships within 24 hours List Price: Our Price: Used: Decision Support Systems and Intelligent Systems (6th Edition) Author(s): Efraim Turban Jay E. Aronson Average Customer Rating: Availability: Usually ships within 24 hours List Price: Save: Our Price: Used: Ontological Engineering: With Examples from the Areas of Knowledge Management, E-Commerce and Semantic Web (Advanced Information and Knowledge Processing)

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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