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Tesi sul tema "Knowledge acquisition (Expert systems)"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 29 luglio 2024

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1

Trimble, John. "Knowledge acquisition and the system dynamics methodology." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/23337.

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2

Parsons, John Scott. "Automated knowledge acquisition for knowledge-based systems, KE-RIT : the Use of Kelleys' personal construct theory in the automation of knowledge acquisitions (theory and prototype) /." Online version of thesis, 1992. http://hdl.handle.net/1850/11056.

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3

Buck, Arlene J. "Automated knowledge acquisition tool for identification of generic tasks /." Online version of thesis, 1990. http://hdl.handle.net/1850/10577.

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4

Thorpe, Patrick J. "Knowledge acquisition for expert systems in fibre production." Thesis, Loughborough University, 1992. https://dspace.lboro.ac.uk/2134/13749.

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Abstract (sommario):

The aim of the study described in this thesis is to investigate the application of expert system technology to acrylic fibre production, with a particular emphasis on knowledge acquisition requirements. In doing so, it is intended to provide an understanding of the requirements and appropriate techniques for the effective application of expert systems in the process industries; The scope of the study is limited to process fault administration which involves detecting, diagnosing arid correcting abnormalities in process operation. A methodology is provided for the systematic development of expe

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5

Mitchell, F. "Painless knowledge acquisition for time series data." Thesis, University of Aberdeen, 1997. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU100889.

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Knowledge Acquisition has long been acknowledged as the bottleneck in producing Expert Systems. This is because, until relatively recently, the KA (Knowledge Acquisition) process has concentrated on extracting knowledge from a domain expert, which is a very time consuming process. Support tools have been constructed to help this process, but these have not been able to reduce the time radically. However, in many domains, the expert is not the only source of knowledge, nor indeed the best source of knowledge. This is particularly true in industrial settings where performance information is rout

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6

Youn, Bong-Soo. "Intelligent knowledge acquisition system /." Online version of thesis, 1989. http://hdl.handle.net/1850/10444.

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7

Curtis, Gary James. "Object-oriented design for knowledge acquisition in expert systems." Thesis, University of Southampton, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.293353.

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8

Motta, Enrico. "Reusable components for knowledge modelling." N.p, 1997. http://ethos.bl.uk/.

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9

Corsar, David. "Developing knowledge-based systems through ontology mapping and ontology guided knowledge acquisition." Thesis, Available from the University of Aberdeen Library and Historic Collections Digital Resources, 2009. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?application=DIGITOOL-3&owner=resourcediscovery&custom_att_2=simple_viewer&pid=25800.

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10

Suryanto, Hendra Computer Science &amp Engineering Faculty of Engineering UNSW. "Learning and discovery in incremental knowledge acquisition." Awarded by:University of New South Wales. School of Computer Science and Engineering, 2005. http://handle.unsw.edu.au/1959.4/20744.

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Abstract (sommario):

Knowledge Based Systems (KBS) have been actively investigated since the early period of AI. There are four common methods of building expert systems: modeling approaches, programming approaches, case-based approaches and machine-learning approaches. One particular technique is Ripple Down Rules (RDR) which may be classified as an incremental case-based approach. Knowledge needs to be acquired from experts in the context of individual cases viewed by them. In the RDR framework, the expert adds a new rule based on the context of an individual case. This task is simple and only affects the expert

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11

Silveira, Gregg. "Bidding a bridge hand : a thesis on knowledge acquisition and application /." Online version of thesis, 1991. http://hdl.handle.net/1850/10936.

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12

Chan, Christine Wai-Chi. "An empirical investigation of knowledge acquisition." Thesis, University of British Columbia, 1988. http://hdl.handle.net/2429/27688.

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Expert systems are being developed despite the widely acknowledged problem of acquiring knowledge from experts. This study attempts to understand how knowledge acquisition is conducted in practice by investigating three expert system development projects. The variables examined include the expert, knowledge engineer, problem domain, organizational setting, the knowledge acquisition process, the expert system construction process, and the expert system itself. A case research methodology is adopted and data is collected through observation and taped protocol of knowledge acquisition sessions, p

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13

Fan, Tony Chich-Chiang. "Automating knowledge acquisition for dynamic decision making in C'3I systems." Thesis, University of Cambridge, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.318319.

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14

Godfrey, Thomas James. "Extraction and representation of encyclopedic knowledge from a dictionary." Thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-10062009-020322/.

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15

Khan, Abdus Salam Computer Science &amp Engineering Faculty of Engineering UNSW. "Incremental knowledge acquisition for case-based reasoning." Awarded by:University of New South Wales. School of Computer Science and Engineering, 2003. http://handle.unsw.edu.au/1959.4/19376.

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Abstract (sommario):

Case-Based Reasoning (CBR) is an appealing technique for developing intelligent systems. Besides its psycho- logical plausibility and a substantial body of research during recent years, building a good CBR system remains still a difficult task. The main problems remaining are the development of suitable case retrieval and adaptation mechanisms for CBR. The major issues are how and when to capture the necessary knowledge for both of the above aspects. As a contribution to knowledge this thesis proposes a new approach to address the experienced difficulties. The basic framework of Ripple Down Ru

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16

Hasan, Irfan. "Machine learning techniques for automated knowledge acquisition in intelligent knowledge-based systems." Instructions for remote access. Click here to access this electronic resource. Access available to Kutztown University faculty, staff, and students only, 1991. http://www.kutztown.edu/library/services/remote_access.asp.

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Thesis (M.S.)--Kutztown University of Pennsylvania, 1991.<br>Source: Masters Abstracts International, Volume: 45-06, page: 3187. Abstract precedes thesis as [2] preliminary leaves. Typescript. Includes bibliographical references (leaves 102-104).

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17

Liou, Yihwa Irene. "The use of a group decision support system environment for knowledge acquisition." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184717.

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Abstract (sommario):

Knowledge acquisition is not only the most important but also most difficult task knowledge engineers face when they begin to develop expert systems. One of the first problems they encounter is the need to identify at least one individual with appropriate expertise who is able and willing to participate in the development project. They must also be able to use a variety of techniques to elicit the knowledge that they require. These include such traditional knowledge acquisition methods as interviewing, thinking-aloud protocol analysis, on-site observation, and repertory grid analysis. As exper

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18

Emero, Michael F. "Using naturally occurring texts as a knowledge acquisition resource for knowledge base design : developing a knowledge base taxonomy on microprocessors /." Master's thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-02162010-020204/.

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19

Plant, Robert T. "A methodology for knowledge acquisition in the development of expert systems." Thesis, University of Liverpool, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240378.

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20

Erdani, Yuliadi. "Acquisition of Human Expert Knowledge for Rule-based Knowledge-based Systems using Ternary Grid." Gerhard-Mercator-Universitaet Duisburg, 2005. http://www.ub.uni-duisburg.de/ETD-db/theses/available/duett-06282005-101136/.

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Abstract (sommario):

Knowledge acquisition is the most important part in the development of expert system. It deals with extracting knowledge from sources of expertise and transferring it to a knowledge base. Knowledge acquisition is major research field in knowledge engineering and still the most difficult and error-prone task for knowledge engineer while building an expert system. This situation influences the performance of the knowledge due to the quality of information and the reduction of error possibility. It is not an easy task to acquire knowledge from human expert not trained in knowledge engineering. Th

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21

Jafar, Musa Jafar. "A tool for interactive verification and validation of rule-based expert systems." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184805.

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Interactive as well as Automatic Verification and Validation is valuable, especially when the size of a knowledge base grows and manual techniques are not feasible. It ensures the stability of the system and raises the confidence in its level of performance. In this dissertation I address the problem of verification and validation of rule based expert systems. It is a problem knowledge engineers have to deal with while building their expert systems to ensure the reliability, accuracy, and completeness of their knowledge bases. The objective of this research is to make it easy for expert system

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22

Richardson, Matthew. "Learning and inference in collective knowledge bases /." Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/6926.

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23

Nikiforou, Savvas. "Selection of Clinical Trials: Knowledge Representation and Acquisition." Scholar Commons, 2002. https://scholarcommons.usf.edu/etd/1527.

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Abstract (sommario):

When medical researchers test a new treatment procedure, they recruit patients with appropriate health problems and medical histories. An experiment with a new procedure is called a clinical trial. The selection of patients for clinical trials has traditionally been a labor-intensive task, which involves matching of medical records with a list of eligibility criteria. A recent project at the University of South Florida has been aimed at the automation of this task. The project has involved the development of an expert system that selects matching clinical trials for each patient. If a patient'

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24

Chronister, Julie Anne. "A domain-independent framework for structuring knowledge in the OFMspert architecture." Thesis, Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/25752.

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25

Trybula, Walt. "Text mining and knowledge discernment : an exploratory investigation /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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26

Connor, James W. "ESKAPE/CF : a knowledge acquisition tool for expert systems using cognitive feedback." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/28173.

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27

Rojo, Vicente Guerrero. "MML, a modelling language with dynamic selection of methods." Thesis, University of Sussex, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285103.

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28

Pham, Son Bao Computer Science &amp Engineering Faculty of Engineering UNSW. "Incremental knowledge acquisition for natural language processing." Awarded by:University of New South Wales. School of Computer Science and Engineering, 2006. http://handle.unsw.edu.au/1959.4/26299.

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Abstract (sommario):

Linguistic patterns have been used widely in shallow methods to develop numerous NLP applications. Approaches for acquiring linguistic patterns can be broadly categorised into three groups: supervised learning, unsupervised learning and manual methods. In supervised learning approaches, a large annotated training corpus is required for the learning algorithms to achieve decent results. However, annotated corpora are expensive to obtain and usually available only for established tasks. Unsupervised learning approaches usually start with a few seed examples and gather some statistics based on a

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29

Joseph, Anton T. "Knowledge acquisition and implementation in an expert process planning system." Thesis, University of Manchester, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.346428.

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30

Kotnour, Timothy G. "Design, development, and testing of an automated knowledge-acquisition tool to aid problem solving, decision making, and planning." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-12302008-063800/.

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31

Gupta, Chaitali. "Web services query matchmaking with automated knowledge acquisition." Diss., Online access via UMI:, 2007.

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32

Fraser, Pierre. "Pistes d'exploration pour l'élaboration d'un système formel de montée en abstraction et d'émergence de catégorisations linguistiques /." Thèse, Chicoutimi : Université du Québec à Chicoutimi, 2001. http://theses.uqac.ca.

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33

Whetzel, Jonathan Hunt. "Developing intelligent agents for training systems that learn their strategies from expert players." Texas A&M University, 2005. http://hdl.handle.net/1969.1/2662.

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Abstract (sommario):

Computer-based training systems have become a mainstay in military and private institutions for training people how to perform certain complex tasks. As these tasks expand in difficulty, intelligent agents will appear as virtual teammates or tutors assisting a trainee in performing and learning the task. For developing these agents, we must obtain the strategies from expert players and emulate their behavior within the agent. Past researchers have shown the challenges in acquiring this information from expert human players and translating it into the agent. A solution for this problem involves

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34

Huber, Bernard J. Jr. "A knowledge-based approach to understanding natural language. /." Online version of thesis, 1991. http://hdl.handle.net/1850/11053.

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35

Bhandari, Archna. "Enhancements to the frame virtual machine /." Online version of thesis, 1989. http://hdl.handle.net/1850/10581.

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36

Boulis, Constantinos. "Topic learning in text and conversational speech /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/5914.

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37

Vazey, Megan Margaret. "Case-driven collaborative classification." Doctoral thesis, Australia : Macquarie University, 2007. http://hdl.handle.net/1959.14/264.

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Thesis (PhD) -- Macquarie University, Division of Information and Communication Sciences, Department of Computing, 2007.<br>"Submitted January 27 2007, revised July 27 2007".<br>Bibliography: p. 281-304.<br>Mode of access: World Wide Web.<br>xiv, 487 p., bound ill. (some col.)

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38

Song, Xiaodan. "Exploiting dynamic patterns for recommendation systems /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/5833.

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39

Burge, Janet E. "Knowledge Elicitation for Design Task Sequencing Knowledge." Digital WPI, 1999. https://digitalcommons.wpi.edu/etd-theses/1062.

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"There are many types of knowledge involved in producing a design (the process of specifying a description of an artifact that satisfies a collection of constraints [Brown, 1992]). Of these, one of the most crucial is the design plan: the sequence of steps taken to create the design (or a portion of the design). A number of knowledge elicitation methods can be used to obtain this knowledge from the designer. The success of the elicitation depends on the match between the knowledge elicitation method used and the information being sought. The difficulty with obtaining design plan informatio

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40

Sun, Xingzhi. "Knowledge discovery in long temporal event sequences /." [St. Lucia, Qld.], 2005. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18601.pdf.

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41

Zhang, Aining Carleton University Dissertation Geography. "Knowledge acquisition and system design for an expert advisory system for statistical analysis (EASSA) for electronic mapping and geographical information systems." Ottawa, 1991.

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42

Nasuti, Frank W. "Knowledge Acquisition using Multiple Domain Experts in the Design and Development of an Expert System for Disaster Recovery Planning." NSUWorks, 2000. http://nsuworks.nova.edu/gscis_etd/746.

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Abstract (sommario):

The increasing dependence of organizations on data processing to perform the basic functions of corporate America, together with recent disasters such as earthquakes, tornadoes and hurricanes have awakened management to the realization that they require Disaster Recovery Plans (DRP) and Business Resumption Services (BRS). To address these needs, organizations frequently consult with outsiders to help them develop disaster recovery and business resumption plans. Although consultants and vendors specializing in disaster recovery planning are available, their number is limited and the quality of

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43

Carton, Patrice. "Acquisition et reconnaissance de messages graphiques, un systeme expert dans un systeme eao." Paris 6, 1988. http://www.theses.fr/1988PA066121.

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Apres l'analyse des principales composantes du dialogue graphique mettent en relation un auteur et un apprenant par l'intermediaire d'un didacticiel, la representation et la manipulaption des objets graphiques sont abordees sous leurs deux aspects indissociables, production et reconnaissance

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44

Tecuci, Gheorghe. "Disciple : a theory, methodology and system for learning expert knowledge." Paris 11, 1988. http://www.theses.fr/1988PA112209.

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DISCIPLE est un système qui illustre une théorie et une méthodologie d'apprentissage des connaissances expertes. Il est composé d'un système expert et d'un système d'apprentissage qui utilise une même base de connaissances. DISCIPLE part de connaissances élémentaires sur un domaine d'application (une théorie du domaine) et, au cours de sessions interactives de résolution de problèmes, apprend de règles générales à partir des solutions spécifiques fournies par l'expert humain. La méthode de résolution de problèmes combine la réduction de problèmes, l'utilisation de contraintes et l'analogie. Qu

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45

Gao, Yongchun 1977. "The application of Web Ontology Language for information sharing in the dairy industry /." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=97957.

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In this thesis the Semantic Web and its core technology---Web Ontology Language (OWL)---were studied. Considering the features of the different units involved in the dairy industry, OWL, in its capacity as an ontology description language, can be used to encode and thus exchange ontology among the units in the dairy industry. After creation of OWL file using Protege, an OWL parser was programmed to decode the ontology and data contained in the OWL file. Based on these investigations, it was determined that OWL can be used to encode, exchange, and decode data between farms and the units that in

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46

Schiavini, Marcos Melo. "Ferramenta de aquisição de conhecimento por modelos explicitos." [s.n.], 1991. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259552.

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Orientador: Marcio Luiz de Andrade Netto<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica<br>Made available in DSpace on 2018-07-13T23:17:40Z (GMT). No. of bitstreams: 1 Schiavini_MarcosMelo_M.pdf: 13404383 bytes, checksum: fe85c025b2fd3ced855421c365c05348 (MD5) Previous issue date: 1991<br>Resumo: A tese apresenta uma contribuição para agilizar e organizar o processo de aquisição de conhecimento necessário ao desenvolvimento de sistemas Especialistas. Para tanto é descrita uma ferramenta computacional de auxilio ao processo de aquisição e engen

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47

Strobel, Johannes M. J. "Historical reasoning with a cognitive flexibility hypertext authoring system : an explorative study on the role of epistemological beliefs on advanced knowledge acquisition /." free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p3164544.

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48

Barkowsky, Thomas. "Mental representation and processing of geographic knowledge : a computational approach /." Berlin [u.a.] : Springer, 2002. http://www.loc.gov/catdir/enhancements/fy0817/2002042843-d.html.

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49

Gréboval, Catherine. "Aide : une approche et une architecture pour rendre opérationnels des modèles conceptuels." Compiègne, 1992. http://www.theses.fr/1992COMP0525.

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Afin de combiner l'apport des modèles conceptuels pour l'aide à l'acquisition des connaissances, et l'apport des systèmes experts de seconde génération pour concevoir des résolveurs de problèmes plus robustes et plus faciles à expliquer, nous proposons une approche consistant à rendre opérationnels des modèles conceptuels. Cette approche repose sur le générateur (shell) AIDE qui permet à l'ingénieur de la connaissance de modéliser à un haut niveau d'abstraction. Le générateur est basé sur un mécanisme de traduction pour coder automatiquement le modèle conceptuel, complètement formalisé en un m

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50

Kmelnitsky, Vitaly M. "Automated On-line Diagnosis and Control Configuration in Robotic Systems Using Model Based Analytical Redundancy." Digital WPI, 2002. https://digitalcommons.wpi.edu/etd-theses/167.

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Because of the increasingly demanding tasks that robotic systems are asked to perform, there is a need to make them more reliable, intelligent, versatile and self-sufficient. Furthermore, throughout the robotic system?s operation, changes in its internal and external environments arise, which can distort trajectory tracking, slow down its performance, decrease its capabilities, and even bring it to a total halt. Changes in robotic systems are inevitable. They have diverse characteristics, magnitudes and origins, from the all-familiar viscous friction to Coulomb/Sticktion friction, and from str

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