Academic literature on the topic 'Expert systems'

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Journal articles on the topic "Expert systems"

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Harlsen, Paul. "Expert systems for experts." Artificial Intelligence in Medicine 1, no. 3 (January 1989): 148. http://dx.doi.org/10.1016/0933-3657(89)90010-9.

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Hermann, Thomas, and Katharina Just. "Experts' systems instead of expert systems." AI & Society 9, no. 4 (December 1995): 321–55. http://dx.doi.org/10.1007/bf01210586.

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Hadden, Susan G., and Jerald L. Feinstein. "Symposium: Expert systems. Introduction to expert systems." Journal of Policy Analysis and Management 8, no. 2 (1989): 182–87. http://dx.doi.org/10.1002/pam.4050080202.

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SWARTOUT, WILLIAM R., and STEPHEN W. SMOLIAR. "On making expert systems more like experts." Expert Systems 4, no. 3 (August 1987): 196–208. http://dx.doi.org/10.1111/j.1468-0394.1987.tb00143.x.

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King, M. "Experiments with experts developing simple expert systems." Omega 17, no. 2 (January 1989): 123–34. http://dx.doi.org/10.1016/0305-0483(89)90004-2.

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NCC Ltd. "Expert system helps experts." Knowledge-Based Systems 1, no. 4 (September 1988): 250. http://dx.doi.org/10.1016/0950-7051(88)90040-8.

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Nash, David, Paul E. Windt, and Andrew M. Peterson. "Expert Systems." PharmacoEconomics 6, no. 5 (November 1994): 478–79. http://dx.doi.org/10.2165/00019053-199406050-00009.

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O'Neill, Margaret. "Expert systems." Aslib Proceedings 41, no. 4 (April 1989): 163–68. http://dx.doi.org/10.1108/eb051136.

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Dutta, Aniruddha, and Asok Bhattacharyya. "Expert Systems." IETE Journal of Education 47, no. 1 (January 2006): 31–37. http://dx.doi.org/10.1080/09747338.2006.11415860.

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Carmone, Frank J., Robert A. Benfer, Edward E. Brent, and Louanna Furbee. "Expert Systems." Journal of Marketing Research 30, no. 3 (August 1993): 398. http://dx.doi.org/10.2307/3172894.

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Dissertations / Theses on the topic "Expert systems"

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Erturk, Alper. "An expert system for reward systems design." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA383532.

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Thesis (M.S. in Information Technology Management and M.S. in Systems Management) Naval Postgraduate School, Sept. 2000.
Thesis advisor(s): Jansen, Erik; Nissen, Mark E. Includes bibliographical references (p. 93-94). Also available online.
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Fisher, David B. "Expert systems in typography /." Online version of thesis, 1990. http://hdl.handle.net/1850/10583.

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Minnema, James E. "Expert systems and Command." Thesis, Monterey, California. Naval Postgraduate School, 1989. http://hdl.handle.net/10945/25934.

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This thesis examines the organizational causes of the Department of Defense's (DoD) inability to acquire working defense systems. One major cause of this is identified as a lack of a sufficient number of trained and experienced acquisition personnel. An examination of the definitions of Decision Support and Expert Systems is made to determine their suitability for application to this problem. The information system framework of Gorry and Scott Morton is used to structure the acquisition problem. The DoD acquisition problem is found to be a good candidate for the application of expert systems. An expert system architecture is developed to provide acquisition personnel both technical and management support. Use of a central mainframe, connected to the Defense Data Network will provide nationwide access, with centralized control of the knowledge base. The architecture allows for the incorporation of existing conventional software under expert software control. In order to reduce development cost and time, the use of existing DoD manuals, as the knowledge base, is proposed. A prototype module, utilizing the M.1 expert shell and DoD Manual 4245.7-M and NAVSO P-6071 is developed to prove the feasibility of this approach
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Davies, Peter Leslie. "Prolog and expert systems." Thesis, Durham University, 1987. http://etheses.dur.ac.uk/6710/.

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The first part of the thesis provides an introduction to the logic programming language Prolog and some areas of current research. The use of compilation to make Prolog faster and more efficient is studied and a modified representation for complex structures is presented. Two programming tools are also presented. The second part of the thesis focuses on one problem which arises when implementing an Expert System using Prolog. A practical three-valued Prolog implementation is described. An interpreter accepts three-valued formulae and converts these into a Prolog representation. Formulae are in clausal form which allows disjunctive conclusions to rules. True and false formulae are stated explicitly and therefore the interpreter is able to perform useful consistency checks when information is added to the data base.
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MacRae, John R. "Connectionism in expert systems." Thesis, University of Aberdeen, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.277364.

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As the technology of computer systems matures, it is becoming clear that conventional techniques are inadequate for complex applications, and attention is being increasingly directed at the use of Knowledge-Based Systems technology. Critical problems in Knowledge-Based Systems are the representation of the expertise from the selected application, and in harnessing sufficient computing power to utilise the stored expertise. An idea which is currently popular in Artificial Intelligence research is that of using parallel processing to ensure that the expertise or knowledge is used effectively, within realistic timescales. Proposals vary in the degree of parallelism, and in the distribution of the problem solving activities. The theory of connectionism, which proposes that the knowledge representation and the problem solving computations are distributed across a very large number of processors, has generated considerable interest and response. Connectionist machines, sometimes known as massively parallel processors, are not highly parallel versions of conventional problem solving engines, but combine the representation of the problem with the processing to produce what is known as an active memory network. Research is described which investigates the application of connectionist theory to various complex problems. These problems are investigated within the context of conventional knowledge-based systems, with the aim of establishing if massively parallel technology realises an efficient problem solving engine. The difficulties associated with the representation and use of numbers in connectionist networks are addressed, the problem of relating the knowledge representation in expert systems to that in connectionist networks is resolved, and the potential for medium scale parallelism in knowledge-based systems is contrasted with the parallelism of connectionism. Finally, the vision of an ideal problem solving engine is considered; some aspects of the evolving designs approach this ideal, and are described.
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Ali, Mohammad. "Micro expert." Virtual Press, 1991. http://liblink.bsu.edu/uhtbin/catkey/774767.

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The purpose of this research was to investigate different approaches to expert system design and implementation. The resulting research information was used to create a microcomputer based expert system for the university computer services. The aim of this expert system is to help users (students, faculty, and staff) with micro computer purchases. As part of the research various interviews were conducted with prospective computer purchasers and the micro computer experts. This approach was taken to ensure that the system was easy to use and that it provided all users with vital information regarding the purchase of a computer system. Micro Expert was developed on IBM architecture using a commercially available expert system shell and 'C' programming language.The beta testing stage of the system was used to conduct more interviews and questionnaires with the microcomputer experts. This process was used to ensure that the product covered the most common questions of the users and provided adequate help and information on purchases.
Department of Computer Science
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McCauley, Bob. "Expert Systems in Data Acquisition." International Foundation for Telemetering, 1987. http://hdl.handle.net/10150/615229.

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International Telemetering Conference Proceedings / October 26-29, 1987 / Town and Country Hotel, San Diego, California
In an Independent Research and Development (IR&D) effort, the Telemetry Systems Operation (TSO) of Computer Sciences Corporation (CSC) sought to determine the feasibility of using Artificial Intelligence (AI) techniques in a real-time processing environment. Specifically, the use of an expert system to assist in telemetry data acquisition processing was studied. A prototype expert system was implemented with the purpose of monitoring F15 Vertical Short Take Off and Landing (VSTOL) aircraft engine tests in order to predict engine stalls. This prototype expert system was implemented on a Symbolics 3670 symbolic processor using Inference Corporation's Artificial Reasoning Tool (ART) expert system compiler/generator. The Symbolics computer was connected to a Gould/SEL 32/6750 real-time processor using a Flavors, Inc. Bus Link for real-time data transfer.
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Nannetti, Federica. "Expert Systems in Maintenance Diagnostic." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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Lo scopo di questo lavoro è introdurre il lettore all’utilizzo dei sistemi esperti nell’ambito manutentivo, specialmente riguardo alla diagnostica. La struttura della dissertazione è articolata in tre parti principali. La prima consiste in una panoramica sulla manutenzione e sui metodi più comuni che ne fanno parte, focalizzandosi specialmente su quelli che sono più attinenti ai sistemi esperti. Nella seconda parte il lettore può trovare le tipologie, le caratteristiche rilevanti e la storia dei sistemi esperti. L’ultima parte della tesi è dedicata allo sviluppo del caso di studio, introdotto da una descrizione del software utilizzato per la sua progettazione (VisiRule). A conclusione del lavoro sono presentate delle considerazioni sugli aspetti positivi dell’utilizzo di sistemi esperti nell’ambito della diagnostica manutentiva.
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Scott, Lawrence Gill. "Explanations in hybrid expert systems." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/28741.

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This thesis addresses the problem of providing explanations for expert systems implemented in a shell that supports a hybrid knowledge representation architecture. Hybrid representations combine rules and frames and are the predominant architecture in intermediate and high-end commercial expert system shells. The main point of the thesis is that frames can be endowed with explanation capabilities on a par with rules. The point is illustrated by a partial specification for an expert system shell and sample explanations which could be generated by an expert system coded to that specification. As background information, the thesis introduces expert systems and the standard knowledge representation schemes that support them: rule-only schemes, and hybrid schemes that combine rules with frames. Explanations for expert systems are introduced in the context of rules, since rules are the only representation for which explanations are supported, either in commercial tools or in the preponderance of research. The problem addressed by the thesis, how to produce explanations for hybrid architectures, is analyzed in two dimensions. Research was surveyed in three areas for guiding principles toward solving the problem: frame logic, metalevel architectures, and reflective architectures. With the few principles that were discovered in hand, the problem is then analyzed into a small number of subproblems, mainly concerning high-level architectural decisions. The solution proposed to the problem is described in two ways. First a partial specification for expert system shell functionality is offered, which describes, first, object structures and, then, behaviors at three points in time—object compilation time, execution time, and explanation generation time. The second component of the description is a set of extended examples which illustrate explanation generation in a hypothetical expert system. The solution adopts principles of reflective architectures, storing metainformation for explanations in metaobjects which are distinct from the object-level objects they explain. The most novel contribution of the solution is a scheme for relating all the ways that objects' slot values may be computed to the goal tree construct introduced by the seminal Mycin expert system. The final chapter explores potential problems with the solution and the possibility of producing better explanations for hybrid expert system shell architectures.
Science, Faculty of
Computer Science, Department of
Graduate
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McAulay, Lawrence. "Expert systems in management accountancy." Thesis, Loughborough University, 1993. https://dspace.lboro.ac.uk/2134/7412.

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Books on the topic "Expert systems"

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Parsaye, Kamran. Expert systems for experts. New York: Wiley, 1988.

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Parsaye, Kamran. Expert Systems for Experts. New York [etc.]: John Wiley&Sons, 1988.

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Parsaye, Kamran. Expert Systems for Experts. New York: John Wiley & Son, 1988.

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Benfer, Robert Alfred. Expert systems. Newbury Park, Calif: Sage Publications, 1991.

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Benfer, Robert Alfred. Expert systems. Newbury Park, Calif: Sage Publications, 1991.

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Benfer, Robert, Edward Brent, and Louanna Furbee. Expert Systems. 2455 Teller Road, Newbury Park California 91320 United States of America: SAGE Publications, Inc., 1991. http://dx.doi.org/10.4135/9781412984225.

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Letendre, Alain. Expert systems. [Ottawa]: Govt. of Canada, Regional Industrial Expansion, 1985.

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inc, International Resource Development, ed. Expert systems. Norwalk, Conn., U.S.A. (6 Prowitt St., Norwalk 06855): International Resource Development, 1985.

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Morris, Anne. Expert systems. London: Library & Information Technology Centre and British Library Research and Development Department, 1990.

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Canada. Dept. of Regional Industrial Expansion. Office of Industrial Innovation. Expert Systems. S.l: s.n, 1985.

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Book chapters on the topic "Expert systems"

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Bungay, Henry R. "Expert Systems." In Environmental Systems Engineering, 139–54. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5507-0_8.

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Rebizant, Waldemar, Janusz Szafran, and Andrzej Wiszniewski. "Expert Systems." In Signals and Communication Technology, 293–301. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-802-7_14.

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Dankel, Douglas D. "Expert Systems." In Organization and Decision Theory, 255–76. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-2514-4_10.

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Zopounidis, Constantin, and Michael Doumpos. "Expert Systems." In Intelligent Decision Aiding Systems Based on Multiple Criteria for Financial Engineering, 83–119. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4663-4_3.

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Shaw, Mildred L. G., and Brian R. Gaines. "Expert Systems." In International Handbook of Personal Construct Psychology, 133–39. Chichester, UK: John Wiley & Sons, Ltd, 2005. http://dx.doi.org/10.1002/0470013370.ch12.

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van Eimeren, Wilhelm. "Expert Systems." In Objective Medical Decision-Making Systems Approach in Disease, 7–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-93308-0_2.

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Hemmer, Markus. "Expert Systems." In Handbook of Chemoinformatics, 1281–94. Weinheim, Germany: Wiley-VCH Verlag GmbH, 2008. http://dx.doi.org/10.1002/9783527618279.ch41a.

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Vishnubhotla, Sarma R., Gautam Biswas, Michael D. Oliff, T. Cecchin, J. Ragot, D. Sauter, M. Darouach, et al. "Expert Systems." In CAD/CAM Robotics and Factories of the Future, 231–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-52323-6_4.

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Rao, Ming, Qijun Xia, and Yiqun Ying. "Expert Systems." In Modeling and Advanced Control for Process Industries, 215–44. London: Springer London, 1994. http://dx.doi.org/10.1007/978-1-4471-2094-0_8.

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Gascoigne, Serafim. "Expert Systems." In The Purple Planet, 74–84. London: Macmillan Education UK, 1985. http://dx.doi.org/10.1007/978-1-349-07860-8_5.

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Conference papers on the topic "Expert systems"

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Song, Il-Yeol, and Joseph LaGue. "Predicting expert system success: an expert system for expert systems." In the 1990 ACM SIGBDP conference. New York, New York, USA: ACM Press, 1990. http://dx.doi.org/10.1145/97709.97717.

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Johnson, James. "Expert systems." In the 1985 ACM annual conference. New York, New York, USA: ACM Press, 1985. http://dx.doi.org/10.1145/320435.323379.

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Ammar, Maan, Khuzama Ammar, Kinan Mansour, and Waad Ammar. "Expert Systems Generating Machine for Image Processing Applications." In 12th International Conference on Computer Science and Information Technology (CCSIT 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121303.

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We introduce in this paper what can be considered a new trend in expert systems field. It is generating different expert systems using the same software platform developed for this purpose, and called “Expert Systems Generating Machine for Image Processing Applications ESGMIPA”. The machine is used to generate different expert systems in completely different application fields which indicates the feasibility of the proposal. Using what we called Domain Expert Guided Heuristic Search (DEGHS) and the machine, we generated an expert system that succeeded in cases where no algorithmic approach can be applied. Generating different expert systems using the same machine depends on the well-known fact that the function of an expert system is determined mainly by its knowledge base. The machine developed expedite very much the development of the expert system to reach best performance. The role of domain expert and the positive effect of the interaction between different domain experts in different fields is highlighted.
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Duffy, J., H. Campbell, E. Sanz, and E. Kern. "Expert systems design of stand-alone PV systems for export." In Conference Record of the Twentieth IEEE Photovoltaic Specialists Conference. IEEE, 1988. http://dx.doi.org/10.1109/pvsc.1988.105888.

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Lancashire, Ian. "Literary expert systems." In the 5th annual international conference. New York, New York, USA: ACM Press, 1986. http://dx.doi.org/10.1145/318723.318739.

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Cheng, Stephen C., John Comella, and Phaih-Lan Law. "Expert's Toolkit: An Expert System Shell For Building Diagnostic Systems." In SPIE 1989 Technical Symposium on Aerospace Sensing, edited by Mohan M. Trivedi. SPIE, 1989. http://dx.doi.org/10.1117/12.969268.

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Hewitt, James A., and Ronald F. Bosmans. "Vibration Diagnostics by Expert Systems That Link to Machinery Databases." In ASME 1991 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/91-gt-298.

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An Expert System is a software program that simulates the thought process of experts. The addition of an expert system to a machinery monitoring system provides a diagnostic monitoring system that is easier to use and understand. This paper describes a system that automatically analyzes the data collected by an online machinery monitoring system. It examines the system architecture required to add intelligent diagnostic capabilities to the monitoring system as well as the data necessary for adequate diagnosis. An example of the system’s operation is also presented.
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Draskovic, Drazen, and Bosko Nikolic. "Software system for expert systems learning." In AFRICON 2013. IEEE, 2013. http://dx.doi.org/10.1109/afrcon.2013.6757804.

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Cao, Hong, and Mei Ma. "A Diagnostic Expert System for Oil Systems of Aeroengines." In ASME 1993 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/93-gt-349.

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DIAG, a diagnostic expert system for oil systems of aeroengines, is presented in this paper. Using artificial intelligence, DIAG, which simulates the role of human experts in solving problems, can solve the complicated problems in diagnosing the faults and failures of oil systems of gas turbine engines. The paper concentrates on the design of DIAG as well as the process of handling the complex relation and uncertainty of problems. It also includes graphic subsystem and data subsystem. It is affirmed by the expected goal of diagnosing the faults and failures of oil system and engine of CFM56 engine on Boeing 737–300 airplane.
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MILLWATER, H., K. PALMER, and P. FINK. "NESSUS/EXPERT - An expert system for probabilistic structural analysis methods." In Advanced Marine Systems Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1988. http://dx.doi.org/10.2514/6.1988-2374.

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Reports on the topic "Expert systems"

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Hirshfield, Stuart H. Integrated Expert Systems. Fort Belvoir, VA: Defense Technical Information Center, March 1988. http://dx.doi.org/10.21236/ada196630.

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Altman, N. S. Expert Systems and Statistical Expertise. Part 1. Statistical Expert Systems. Fort Belvoir, VA: Defense Technical Information Center, May 1985. http://dx.doi.org/10.21236/ada159503.

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Gowens, J. W. Expert Systems Development Methodology. Fort Belvoir, VA: Defense Technical Information Center, July 1989. http://dx.doi.org/10.21236/ada216892.

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Schank, Roger C. Memory-Based Expert Systems. Fort Belvoir, VA: Defense Technical Information Center, August 1989. http://dx.doi.org/10.21236/ada219875.

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Stevenson, Charles A. Artificial Intelligence and Expert Systems. Fort Belvoir, VA: Defense Technical Information Center, March 1986. http://dx.doi.org/10.21236/ada436516.

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Chandrasekaran, B., and Karsten Schwan. Parallel Real-Time Expert Systems. Fort Belvoir, VA: Defense Technical Information Center, February 1988. http://dx.doi.org/10.21236/ada193673.

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O'Neil, Harold F., Ni Jr., Jacoby Yujing, Swigger Anat, and Kathleen M. Human Benchmarking of Expert Systems. Fort Belvoir, VA: Defense Technical Information Center, September 1990. http://dx.doi.org/10.21236/ada233601.

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Gass, Saul I., Suneel Bhasker, and Robert E. Chapman. Expert systems and emergency management. Gaithersburg, MD: National Bureau of Standards, 1986. http://dx.doi.org/10.6028/nbs.sp.728.

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Zimmerman, B. D., G. Jr Jansen, and M. J. Moen. Three applications of rule induction expert systems. Office of Scientific and Technical Information (OSTI), January 1990. http://dx.doi.org/10.2172/7171592.

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Feigenbaum, Edward A., and Robert S. Engelmore. Expert Systems on Multiprocessor Architectures. Phase 1. Fort Belvoir, VA: Defense Technical Information Center, August 1988. http://dx.doi.org/10.21236/ada204907.

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