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/Home/Technology/Computer Science/Computer Programming/Expert Systems Expert Systems Votes:0 Next: Introduction Up: Databases and Artificial Intelligence Previous: Exam-like questions Expert Systems Introduction Designing an Expert System Expert System Architecture Choosing a Problem Knowledge Engineering Exam-like questions Rules and Expert Systems A Simple Example Explanation facilities More Complex Systems An Expert System Shell in Prolog MYCIN: A Quick Case Study Read More Go to Site UA-ECE Intelligent Systems Laboratory Votes:0 Intelligent Systems Laboratory The Intelligent Systems Laboratory is in the Department of Electrical and Computer Engineering at the University of Arizona in Tucson , Arizona . Classes ECE 175 - Engineering Problem Solving in C ECE 373 - Object-Oriented Software Design ECE 479/579 - Principles of Artificial Intelligence ECE 566 - Knowledge System Engineering ECE/AME 567 - Geometric Modeling and Computer Graphics ECE 580 - Intro. to Machine Learning Projects Case-Based Planning / Process Planning / Plan Merging Case-Based Planning / Process Planning / Plan Merging --> Computer Integrated Inspection / Active Vision Knowledge Sharing Feature Extraction / Spatial Reasoning / Probabilistic Methods Feature Extraction / Spatial Reasoning / Probabilistic Methods --> Scientific Visualization / Grap Read More Go to Site Artificial Intelligence - a CompInfo Directory Votes:0 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 Magazines Computer Books Computer Events CompInfo I.T. Directories Site Search Highlight Your Company Downloads, Drivers and Reviews Computer News Keep Informed - Add Your Interests MCSE Certification Resources IT Study Resources 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 a Read More Go to Site CLIPS: A Tool for Building Expert Systems Votes:0 CLIPS 6.3 Beta for Windows CLIPS Java Native Interface 0.1 Beta Consulting/Training/Employment What's New in the CLIPS Web Pages What is CLIPS? CLIPS Download Area Support Services for CLIPS CLIPS Expert System Group CLIPS Frequently Asked Questions CLIPS Related Web Locations A Tool for Building Expert Systems Last Update October 22, 2007 Gary Riley Read More Go to Site CONSTRUCTING FUZZY Votes:0 BUILDING FUZZY EXPERT SYSTEMS William Siler, PhD Birmingham , AL 35217 , USA E-Mail: wsiler@aol.com This page has been referenced times. You may download the self-extracting file <>manual.exe (229,882 bytes) Your comments, positive and (especially desired) negative will be most appreciated. Email to : William Siler CONTENTS Introduction. Chapter 1: Fuzzy Mathematics: Fuzzy Logic, Fuzzy Sets, Fuzzy Numbers. 1.1 Fuzzy Logic. 1.2 Fuzzy Sets. 1.3 Fuzzy Numbers. Chapter 1 Questions. Chapter 1 Answers. Chapter 2: Defining Your System: Purpose, Conclusions to be Reached, Data . 2.1: An Overview. 2.2: Structuring the solution: overall purpose, specific conclusions, data . 2.2.1: Overall purpose. 2.2.2 Possible conclusions. 2.2.3 Data. 2.2.4 Reviewing your scheme. 2.3 Mapping out the reasonin Read More Go to Site EKSL Research: Empirical Methods Votes:0 EKSL Research: Empirical Methods Empirical Methods The design of AI systems is typically justified informally. For example, one might say, "Planner X is designed to be reactive because the environment changes rapidly in unexpected ways." We believe this style of justification is too informal to support (a) demonstrations of the necessity of an agent's design, (b) evaluation of the design, (c) generalization of the design to other tasks and environments, (d) communication of the design to other researchers, and (e) comparisons between designs. Through our research program we seek to demonstrate that achieving these goals is a natural consequence of basing designs on formal models of the interactions between agents and their environments. The methodology we have developed for this purpose we Read More Go to Site European Coordinating Committee for Artificial Intelligence (ECCAI) Votes:0 European Coordinating Committee for Artificial Intelligence topical Join us! ECCAI Bulletin ECAI 2008 AICom AI Education AI Conferences organisation Member Societies Fellows Board General Assembly activities Membership Benefits ECAI Conferences ACAI Summer Schools ECCAI Bulletins Travel Grants Dissertation Award Fellows Program ECAI Proceedings AI Communications IEEE Intelligent Systems 50 Years AI ETAI administration Procedures, etc. Contact Impressum Last update: 04-Oct-2006 Powered by Read More Go to Site EXSEL Pages Votes:0 Exsel Expert System for Brush and Weed Control Technology Selection Version 1.10 Ranching Systems Group TAMU AG Program | TAES | Texas Cooperative Extension Use of this program on the web is brought to you by Dow AgroSciences . Exsel 1.10 Web Information Examine a Situation User Instructions about Parameters Controlled Burn Checklist Herbicide Mixing Chart [Top] | [History] | [Examine a Situation] [User Instructions] | [Burn Checklist] | [Herbicide Mixing Chart] [Sponsor] Read More Go to Site FAQ: Expert System Shells 1/1 [Monthly posting] Votes:0 Introduction [1-1] Introduction [1-2] Other Sources of Information [1-3] Bibliography of Expert Systems books, introductions, documentation, periodicals, and conference proceedings. [1-4] Note about 'Real-Time' expert systems [1-5a] Free/Cheap Expert System Shells [1-5b] Free/Cheap Expert System Shells: CLIPS and Related Systems [1-6] Commercial Expert System Shells [1-7] Associations [1-8] Glossary [1-A] Acknowledgements Read More Go to Site FAQ: Fuzzy Logic and Fuzzy Expert Systems 1/1 [Monthly posting] - [4] What is a fuzzy expert system? Votes:0 [4] What is a fuzzy expert system? Date: 21-APR-93 A fuzzy expert system is an expert system that uses a collection of fuzzy membership functions and rules, instead of Boolean logic, to reason about data. The rules in a fuzzy expert system are usually of a form similar to the following: if x is low and y is high then z = medium where x and y are input variables (names for know data values), z is an output variable (a name for a data value to be computed), low is a membership function (fuzzy subset) defined on x, high is a membership function defined on y, and medium is a membership function defined on z. The antecedent (the rule's premise) describes to what degree the rule applies, while the conclusion (the rule's consequent) assigns a membership function to each of one or more output vari Read More Go to Site Het bestand kan niet worden weergegeven Votes:0 Het bestand kan niet worden weergegeven Het bestand dat u zoekt is misschien verwijderd, de naam van het bestand kan zijn gewijzigd of het bestand is tijdelijk niet beschikbaar. Probeer het volgende: Klik op de knop Vernieuwen of probeer het later opnieuw. Klik op de knop Vorige om een andere koppeling te proberen. Open de introductiepagina en kijk of er koppelingen zijn naar de gewenste informatie. HTTP 404 Onze excuses voor het ongemak. Read More Go to Site IEEE Intelligent Systems Votes:0 Advanced Search CS Search &nbsp Google Search Home Digital Library Podcasts Site Map Store Contact Us Shopping Cart Help Login High-Impact, Cutting-Edge Theory and Applications September/October 2007 The #1 Magazine in Artificial Intelligence! Social Computing This special issue investigates the development and use of social software-tools and computing methods that support social interaction and communication in significant application domains. It also features articles describing general intelligent systems (not necessarily social software) that leverage insights and findings from social, organizational, cultural, and media theory. Also in this issue : Reinventing Academic Publishing, Semantic Web Services, Recommender Systems, and more Issue Highlights The following articles are availab Read More Go to Site Institute for Human and Machine Cognition (IHMC) Votes:0 research about us community people internal CmapTools contact us board search Board of Directors Newsletter Science Advisory Council Afternoon Lecture Series openings@ihmc Evening Lecture Series IHMC – A University Affiliated Research Institute Read More Go to Site Jess, the Rule Engine for the Java Platform Votes:0 Jess Information Jess Home Jess 7 Features Download Now! Online Demo Documentation FAQ Manual Mailing List Jess Wiki More information Related Web Sites User Contributions JSR94 Info Developer's Log About This Site ® , the Rule Engine for the Java TM Platform New! Jess 7.1b1 is available! We are getting closer to the final release of this exciting new version of Jess. Jess is a rule engine and scripting environment written entirely in Sun's Java language by Ernest Friedman-Hill at Sandia National Laboratories in Livermore, CA. Using Jess , you can build Java software that has the capacity to "reason" using knowledge you supply in the form of declarative rules. Jess is small, light, and one of the fastest rule engines available. Its powerful scripting language gives you access to all of Java Read More Go to Site KBS practical Votes:0 KBS practical Use Expert Builder to see how an expert system works (30 min.) Learn how to use Knowledge Wright to build an expert system (1.5-2.5 hr.) Knowledge Wright practical notes Running knowledge bases on our web server Getting around bugs in Knowledge Wright Develop your own expert system (weeks 5 and 6) Objectives To study a range of expert systems in order to understand their potential applications and how they work. To learn how to use a simple expert system shell. To develop your own demonstration expert system. Timing and evaluation A 2-hour practical sessions in week 3 has been set aside for parts 1 and 2 of this practical. Part 3 can be done during weeks 5 and 6 by those students who choose to submit a KBS (rather than a machine learning) assignment. Reports are to be submitt Read More Go to Site Logic Programming Associates Votes:0 Welcome to LPA Welcome to Logic Programming Associates (LPA). We design and support world-class products for Artificial Intelligence, including state-of-the-art Prolog compilers, Chimera Agents, the flex expert system and VisiRule graphical business rules. Chimera Agents - FREE TRIAL Chimera is an all-new Agent Engine, providing an easy-to-use, event-driven model for developing distributed, intelligent applications. Built on the TCP/IP services in WIN-PROLOG, Chimera simplifies all aspects of agent creation and deployment. Chimera Heuristic Intelligence Modelling Enhanced Relational Agents SQUID - Search the LPA Website Use SQUID (Simple Query Utilising Independent Descriptors) to search the LPA Website directly from this page, or by clicking "Search" on any page. Visual Rules OK - FREE TR Read More Go to Site Navy Center for Applied Research in Artificial Intelligence Votes:0 NRL Home Page Information Search Organizational Directory U.S. Naval Research Lab Navy Center for Applied Research in Artificial Intelligence NRL / Systems / ITD / NCARAI NRL Resources NCARAI Research Sections Adaptive Systems Immersive Simulation Intelligent Systems Intelligent Multimodal / Multimedia Systems Interface Design & Evaluation Warfighter Human System Interaction Lab NCARAI Activities 2006-2007 Seminar Series 2005-2006 Seminar Series About NCARAI Facilities Students & Faculty Visitors Outreach The Navy Center for Applied Research in Artificial Intelligence (NCARAI) has been involved in both basic and applied research in artificial intelligence since its inception in 1981. This year we celebrate our 25th anniversary. NCARAI, part of the Information Technology Division within the Read More Go to Site PC AI - Artificial Intelligence Votes:0 Where Intelligent Technology Meets the Real World The PC AI Home Page has moved. PC AI Magazine PO Box 30130 Phoenix, AZ 85046 Voice: 602.971.1869 Fax: 602.971.2321 e-mail: info@pcai.com Comments? webmaster@pcai.com Copyright (C) 2001-2002, All rights reserved Read More Go to Site SHYSTER Votes:0 Skip Navigation | ANU Home | Search ANU | Search FEIT Faculty of Engineering and Information Technology (FEIT) Department of Computer Science SHYSTER SHYSTER is a case-based legal expert system, developed by James Popple . Details of the design, implementation, operation and testing of SHYSTER are given in his book A Pragmatic Legal Expert System . SHYSTER provides advice in areas of case law that have been specified by a legal expert using a specially developed specification language. It was implemented in a UNIX environment, and consists of a dozen modules written in ISO C. This C source code , and the case law specifications used to test SHYSTER during its development, are available for no charge, and without warranty, on certain terms and conditions . Example output from SHYSTER is als Read More Go to Site SNePS Research Group Home Page Votes:0 UNIVERSITY AT BUFFALO - STATE UNIVERSITY OF NEW YORK The Department of Computer Science & Engineering The long term goal of the SNePS Research Group is to understand the nature of intelligent cognitive processes by developing and experimenting with computational cognitive agents that are able to use and understand natural language, reason, act, and solve problems in a wide variety of domains. The principal research area of the Group is knowledge representation and reasoning (krr) in support of natural-language competent autonomous agents. This includes research in: logics for krr; natural language understanding and generation; cognitive architectures; acting formalisms; belief change; models of time, self, and other agents. The group is widely known for its development of the SNePS knowled Read More Go to Site Stanford Knowledge Systems, AI Laboratory Votes:0 KSL conducts research in the areas of knowledge representation and automated reasoning in the Artificial Intelligence Laboratory of the Department of Computer Science at Stanford University . Current work focuses on enabling technology for the Semantic Web, hybrid reasoning, explaining answers from heterogeneous applications, deductive question-answering, representing and reasoning with multiple contexts, knowledge aggregation, ontology engineering, and knowledge-based technology for intelligence analysts and other knowledge workers. Read More Go to Site The Central Laboratory For Agricultural Expert Systems Votes:0 Advanced Search HISTORY In 1987, officials at the Egyptian Ministry of Agriculture and land reclamation, recognized expert systems as an appropriate technology for speeding development in the agricultural sector. To realize this technology, in 1989, the ministry initiated the Expert Systems for Improved Crop Management Project (ESICM) in conjunction with the Food and Agriculture Organization of The United Nations ( FAO ) and the United Nations Development Program (UNDP).The project began in mid 1989 and CLAES joined the Agricultural Research Center ( ARC ) in 1991. Through the development, implementation and evaluation of knowledge based decision support systems, the Central Laboratory for Agricultural expert Systems is helping farmers through out Egypt optimize the use of resources and ma Read More Go to Site The Public-Access Computer Systems Review Votes:0 Serving the Internet Community Since 1990. ISSN 1048-6542. Author Index Issue Index Subject Index Search A Brief History of the Journal Annual Gopher and Web Use Statistics Articles and Web Pages Relevant to the Journal A Brief History of the Journal The Public-Access Computer Systems Review ( PACS Review ) was an electronic journal about end-user computer systems in libraries. It was established in 1989 by Charles W. Bailey, Jr. , who served as Editor-in-Chief for volumes one (1990) to seven (1996). It was published by the University of Houston Libraries. The establishment of the journal was announced on the PACS-L list on August 16, 1989. A call for papers was issued on October 16, 1989. The publication of the first issue was announced on January 3, 1990. The journal was cataloged on OCL Read More Go to Site Topic: areas/expert/systems/ Votes:0 Topic: areas/expert/systems/ CMU Artificial Intelligence Repository Expert System Shells areas/expert/systems/ babylon/ BABYLON: Development environment for expert systems. clips/ CLIPS: C Language Integrated Production System es/ ES: A Public Domain Expert System esfm/ ESFM: Prolog Expert System for Forestry Management esie/ ESIE and Logic-Line: Expert System Shell and AI Retrieval/Correlation Tool. expert/ Expert: An expert system written in ADA. frulekit/ FRulekit: Frame-based RETE production system. hugin/ HUGIN Expert System: Demo versions for Solaris, Sun4, and Windows les/ LES: Learning Expert System mike/ MIKE: Free and portable expert system teaching system. ops5/ OPS5: RETE-based expert system shell. salvini/ PROTEST: Prolog Expert System Building Tool This directory contains a v Read More Go to Site University of Dortmund -- Computer Science VIII Votes:0 [ LS8 News ] - Teaching - Research - Projects - Software - Staff - General - Internal News from the Artificial Intelligence Group IEEE ICDM Workshop on Data Mining in Web 2.0 Environments The international ICDM Workshop on "Data Mining in Web 2.0 Environments" will be held on October 28th in Omaha, United States. The deadline for paper submissions is June 22th. Best Paper Award Ingo Mierswa received a best paper awards at the Genetic and Evolutionary Computation Conference (GECCO 2007) for his work "Controlling Overfitting with Multi-Objective Support Vector Machines" . KDubiq Summer School 2008 Second European Summer School on Knowledge Discovery for Ubiquitous Computing promoted by: Prof. Dr. Katharina Morik Dr. João Gama March 3 - 9, 2008 University of Porto, Portugal more... Read More Go to Site Veterinary Informatics and Epidemiology welcome page Votes:0 Veterinary Informatics and Epidemiology A Joint Research Group This is the World Wide Web Server for Veterinary Informatics and Epidemiology at University of Glasgow and University of Strathclyde . The server is host to the World Wide Web pages for The Equine Welfare Information Service E Q WISE Wellcome Trust IPRAVE project WIPRAVE Society for Veterinary Epidemiology and Preventive Medicine SVEPM The Home of Rest for Horses website has moved. Table of Contents Introduction - what VIE is Mission - what VIE is about Activities - what VIE does Highlights - of recent VIE activities Personnel - who does what Research Projects - what VIE is doing now Publications - what VIE has published Other Interesting Places - what others are doing The personnel comprising VIE are located in several Departm Read More Go to Site Whale Watcher Votes:0 Your browser does not support script Acquire ® Demonstrations: Whale Watcher An Acquire? expert system application for identifying whales. Whale watching is so popular that many people find this application to be entertaining, educational, interesting and useful. We certainly hope you enjoy it. The Whale Watcher will ask you some questions as it tries to identify the whale that you have observed. If you like it, you can download your own copy. When using this application, bear in mind that this expert system is meant for demonstration purposes only; it is not definitive. If you want a more informed identification of your observed whale(s), you should consult your government's Ministry of Fisheries and Oceans, marine biologists at your local university, a published reference work, or visit Read More Go to Site

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