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Dissertations / Theses on the topic 'Knowledge acquisition'

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Published: 4 June 2021
Last updated: 25 July 2025

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1

Al-Jabir, Shaikha. "Terminology-based knowledge acquisition." Thesis, University of Surrey, 1999. http://epubs.surrey.ac.uk/843300/.

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A methodology for knowledge acquisition from terminology databases is presented. The methodology outlines how the content of a terminology database can be mapped onto a knowledge base with a minimum of human intervention. Typically, terms are defined and elaborated by terminologists by using sentences that have a common syntactic and semantic structure. It has been argued that in defining terms, terminologists use a local grammar and that this local grammar can be used to parse the definitions. The methodology has been implemented in a program called DEARSys (Definition Analysis and Representa
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Youn, Bong-Soo. "Intelligent knowledge acquisition system /." Online version of thesis, 1989. http://hdl.handle.net/1850/10444.

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3

González-Fernández, Beatriz. "Vocabulary knowledge components : knowledge, acquisition and conceptualisation." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/52090/.

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Vocabulary knowledge is a multifaceted construct for which complete command comprises mastering various types of knowledge. Achieving this full mastery is deemed challenging and problematic for second language learners, and yet it is key for successful and appropriate language use (Webb & Nation, 2017). By understanding how these various kinds of knowledge behave and relate, practitioners can better systematise when and how they are introduced to the students, and thus facilitate the overall vocabulary learning process. Nevertheless, little is known about how these multiple types of word knowl
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4

Bakke, Elise. "Knowledge acquisition and modelling for knowledge-intensive CBR." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2005. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9187.

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<p>This thesis contains a study of state of the art knowledge acquisition modelling principles and methods for modelling general domain knowledge. This includes Newell's knowledge level, knowledge level modelling, Components of Expertise, CommonKADS and the Protégé meta tool. The thesis also includes a short introduction to the knowledge-intensive case-based reasoning system TrollCreek. Based on this background knowledge, one did analysis and comparison of different possible solutions. Then, after justifying the choices made, a knowledge acquisition method for TrollCreek was created. The metho
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Jones, Hugh William Fawcett. "Children's understanding of knowledge acquisition." Thesis, University of Oxford, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306994.

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6

Wu, Xindong. "Knowledge acquisition from data bases." Thesis, University of Edinburgh, 1993. http://hdl.handle.net/1842/581.

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Knowledge acquisition from databases is a research frontier for both data base technology and machine learning (ML) techniques,and has seen sustained research over recent years. It also acts as a link between the two fields,thus offering a dual benefit. Firstly, since database technology has already found wide application in many fields ML research obviously stands to gain from this greater exposure and established technological foundation. Secondly, ML techniques can augment the ability of existing database systems to represent acquire,and process a collection of expertise such as those which
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Muggleton, Stephen H. "Inductive acquisition of expert knowledge." Thesis, University of Edinburgh, 1986. http://hdl.handle.net/1842/8124.

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Expert systems divide neatly into two categories: those in which ( 1) the expert decisions result in changes to some external environment (control systems), and (2) the expert decisions merely seek to describe the environment (classification systems). Both the explanation of computer-based reasoning and the "bottleneck" (Feigenbaum, 1979) of knowledge acquisition are major issues in expert systems research. We have contributed to these areas of research in two ways. Firstly, we have implemented an expert system shell, the Mugol environment, which facilitates knowledge acquisition by inductive
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8

Chisnall, Anne Clare. "Grounded theory for knowledge acquisition." Thesis, De Montfort University, 1998. http://hdl.handle.net/2086/4140.

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9

Thomas, Christopher J. "Knowledge Acquisition in a System." Wright State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=wright1357753287.

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10

Bosan, Sorel. "Interactive Simulations for Knowledge Acquisition." W&M ScholarWorks, 1989. https://scholarworks.wm.edu/etd/1539626819.

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11

Ward, Antony. "Acquisition of service product knowledge." Thesis, Queensland University of Technology, 1995.

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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

Mase, Kenji, Shoji Kajita, Yasushi Hirano, Takuya Maekawa, and Shohei Yoshioka. "Interactive Story Creation for Knowledge Acquisition." IEEE, 2010. http://hdl.handle.net/2237/14446.

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14

Pfister, Alex. "Unsupervised acquisition of concatenative morphological knowledge." Thesis, Imperial College London, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.393689.

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15

Williams, Ryan Duane. "ComicKit : knowledge acquisition of story scripts." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33388.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.<br>Includes bibliographical references (leaves 50-51).<br>The field of Artificial Intelligence stands poised to make great leaps in emulating human intelligence. The development of a way to acquire and use common sense is the key to this advancement. This thesis describes the design and construction of ComicKit, a tool for acquiring story scripts for a common sense knowledge base. ComicKit's core mechanism is dragging and dropping icons into the panels of a comic. As the user cr
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16

Lei, Tao Ph D. Massachusetts Institute of Technology. "Domain knowledge acquisition via language grounding." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/82412.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 54-60).<br>This thesis addresses the language grounding problem at the level of word relation extraction. We propose methods to acquire knowledge represented in the form of relations and utilize them in two domain applications, high-level planning in a complex virtual world and input parser generation from input format specifications. In the first application, we propose a reinforcement learning fra
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17

White, Simon. "Enhancing knowledge acquisition with constraint technology." Thesis, University of Aberdeen, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322633.

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18

Kirkgöz, Yasemín. "Knowledge acquisition from L2 specialist texts." Thesis, Aston University, 1999. http://publications.aston.ac.uk/15191/.

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This research aims to investigate knowledge acquisition and concept formation in the domain of economics and business studies through a foreign language, English, from the very initial to the very final stage of development in the context of Higher Education in Turkey. It traces both the processes as well as the product of acquisition in order to provide a detailed picture of how knowledge acquisition occurs. It aims to explore ways in which the acquisition process can be facilitated and promoted while prospective students of the Department of Economics and Business Administration receive a la
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Sharma, Sunil. "Case based knowledge acquisition and refinement." Thesis, University of Aberdeen, 1988. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU021146.

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This thesis reports research undertaken in two rather distinct phases. Firstly, the thesis reports a study of cognitive processes involved in the task of 'concept identification': given sample instances of a concept, the task is to identify the concept. A computer model which successfully reproduces responses similar to those observed in human subjects is described. Secondly, this thesis reports the design of a case-based learning system REFINER. The system is a 'Learning Apprentice System' for differential diagnosis tasks, to aid the transfer of knowledge from a domain expert to a computer. K
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20

Garnier, Mélodie. "English phrasal verbs : usage, knowledge, acquisition." Thesis, University of Nottingham, 2016. http://eprints.nottingham.ac.uk/38662/.

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Formulaic language constitutes an essential part of English vocabulary and is necessary for performing a wide range of communicative functions, but knowledge and acquisition of formulaic sequences is typically found to be lacking and problematic for L2 learners. Whilst much research has been carried out on formulaic sequences such as idioms and collocations, comparatively little has been done on phrasal verbs which are nonetheless commonly perceived as one of the most challenging aspects of English vocabulary. This thesis attempts to contribute to filling this gap by exploring the usage, knowl
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21

Macy, Robert Scott. "Knowledge competency acquisition in the knowledge economy : links to firm performance /." view abstract or download file of text, 2006. http://proquest.umi.com/pqdweb?did=1196407371&sid=1&Fmt=2&clientId=11238&RQT=309&VName=PQD.

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Thesis (Ph. D.)--University of Oregon, 2006.<br>Typescript. Includes vita and abstract. Study based on data derived from a sampling of 189 large U.S. law firms. Includes bibliographical references (leaves 90-101). Also available for download via the World Wide Web; free to University of Oregon users.
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22

Kang, Seung Hwan. "Intelligent knowledge acquisition using case-based reasoning knowledge sharing and reuse /." Access electronically, 2003. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20050310.145300/index.html.

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23

Luzzi, Federico Walter. "Knowledge from ignorance : a study in the acquisition of inferential knowledge." Thesis, University of Aberdeen, 2010. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=165819.

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The view that knowledge-yielding single-premise deductive inference must proceed from a known premise is very plausible at first blush. In this thesis I explore in detail the possibility that this view is false. I construct a series of challenging cases against the principle of Counter-Closure, which expresses this view. These cases force theorists endorsing a variety of contemporary views to either (i) abandon Counter-Closure; (ii) admit into their epistemology novel and theory-specific kinds of Gettier cases; or (iii) make significant revisions to their theories. I offer considerations that
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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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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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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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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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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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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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Rydell, Karlsson Monica. "Knowledge acquisition in patients with heart disease /." Stockholm : Karolinska institutet, 2007. http://diss.kib.ki.se/2007/978-91-7357-257-6/.

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28

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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Guo, Runli. "Proper name knowledge acquisition for text understanding." Thesis, University of Surrey, 2002. http://epubs.surrey.ac.uk/800039/.

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30

Wusteman, Judith. "EBKAT : an explanation-based knowledge acquisition tool." Thesis, University of Exeter, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.280682.

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31

Koh, Glenn. "Training spatial knowledge acquisition using virtual environments." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/43518.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.<br>Includes bibliographical references (leaves 104-105).<br>by Glenn Koh.<br>M.Eng.
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32

Stange, Dominic, Andreas Nürnberger, and Holger Heyn. "Collaborative Knowledge Acquisition and Explorationin Technology Search." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-181723.

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This article is about technology search as an example of a knowledge acquisition task in industry. Technology search is about finding technology related information in structured as well as unstructured sources. This information is needed to support optimal decision making in business processes. There are new opptortunities for technology search and challenges that need to be addressed. This article outlines some of these challenges and presents two concepts to address them in a search system.
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33

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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34

Andrus, Jon Michael. "The acquisition of task-relevant audit knowledge." Diss., The University of Arizona, 1996. http://hdl.handle.net/10150/290577.

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It is widely held that the auditor's experience is the most important factor leading to the development and organization of the auditor's knowledge base (Waller and Felix 1984; Gibbins 1984). This study extends prior research by examining knowledge differences between auditors with similar amounts of public accounting experience (general domain experience) but with differing specific audit experiences and training. The study examines the association between experience and training and the auditors knowledge of the effectiveness of internal control and audit procedures to prevent and detect pot
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35

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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36

Klijn, Elko. "Knowledge transfer between partners of international joint ventures : knowledge acquisition, knowledge accession, and eloquent capacity." Thesis, University of Leeds, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.428264.

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37

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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38

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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Nicholson, Clive. "Knowledge acquisition for knowledge-based systems : an empirical comparison of two methods." Thesis, University of Southampton, 1992. https://eprints.soton.ac.uk/425631/.

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40

Mendes, David. "Clinical Practice Knowledge Acquisition and Interrogation using Natural Language." Doctoral thesis, Universidade de Évora, 2014. http://hdl.handle.net/10174/12553.

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The scientific concepts, methodologies and tools in the Knowledge Representation (KR) sub- domain of applied Artificial Intelligence (AI) came a long way with enormous strides in recent years. The usage of domain conceptualizations that are Ontologies is now powerful enough to aim at computable reasoning over complex realities. One of the most challenging scientific and technical human endeavors is the daily Clinical Prac- tice (CP) of Cardiovascular (CV) specialty healthcare providers. Such a complex domain can benefit largely from the possibility of clinical reasoning aids that are now at th
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41

Hashimoto, Chikara. "Knowledge Acquisition from the Web for Text Understanding." 京都大学 (Kyoto University), 2011. http://hdl.handle.net/2433/151931.

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42

Jordon, Lester Arlington. "Automating knowledge acquisition and representation with fuzzy logic." Thesis, University of British Columbia, 1991. http://hdl.handle.net/2429/29990.

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An interactive computer program has been developed to automate the construction of knowledge bases in expert system development. The program incorporates many user friendly features which allow users who may not understand the concepts of fuzzy logic or the complexity of the knowledge acquisition process to develop useful and complete Expert Systems. Expert systems formalism are being successfully used in the industry. A major bottleneck in development of these systems lies in the knowledge acquisition phase. This study presents an induction system, based on fuzzy logic, which successfully au
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Finlayson, Angela Margaret Computer Science &amp Engineering Faculty of Engineering UNSW. "Incremental knowledge acquisition for complex multi-agent environments." Publisher:University of New South Wales. Computer Science & Engineering, 2008. http://handle.unsw.edu.au/1959.4/42887.

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This thesis presents an incremental knowledge acquisition framework that supports the creation of multi-agent teams in complex real-time environments. The underlying technique is based upon the Ripple Down Rules (RDR) technology. RDR is a knowledge acquisition technology that allows the expert to interact directly with the system and construct knowledge incrementally on a case by case basis. RDR and its variants have been successfully applied to a wide range of problem types. However, there has been no research that has explored the adaptation of RDR to complex real-time, multi-agent environme
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Hotz, Kenneth Joseph. "A visual and interactive environment for knowledge acquisition." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq23610.pdf.

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45

Stephens, Robert Andrew. "Representation and knowledge acquisition : the problem of language." Thesis, University of the West of England, Bristol, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.321831.

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46

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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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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Patel, Jitendra M. "Automatic acquisition of knowledge for solving analysis tasks." Thesis, Open University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.329567.

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48

Trice, Andrew W. "Facilitating consensus knowledge acquisition by Andrew W. Trice." Thesis, Massachusetts Institute of Technology, 1990. http://hdl.handle.net/1721.1/14086.

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Karunananda, Asoka S. "Investigating the use of metaphors for knowledge acquisition." Thesis, Keele University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262379.

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A major phase in the construction of Knowledge-Based Systems (KBSs) is the Knowledge Acquisition stage. It involves acquiring knowledge from experts, books, examples and from other relevant sources. Until recently, researchers assumed a simplistic view of knowledge which required it being 'extracted' or 'mined' from experts. It is now clear that this simplistic view ignored the rich epistemological, cognitive and perceptual basis of what we refer to as knowledge. This thesis set about to address this problem. It identifies domain analysis as an early stage in the knowledge acquisition process
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Clark, Stephen. "Class-based statistical models for lexical knowledge acquisition." Thesis, University of Sussex, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.341541.

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This thesis is about the automatic acquisition of a particular kind of lexical knowledge, namely the knowledge of which noun senses can fill the argument slots of predicates. The knowledge is represented using probabilities, which agrees with the intuition that there are no absolute constraints on the arguments of predicates, but that the constraints are satisfied to a certain degree; thus the problem of knowledge acquisition becomes the problem of probability estimation from corpus data. The problem with defining a probability model in terms of senses is that this involves a huge number of pa
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