Bibliografie tematiche / Knowledge acquisition (Expert systems)

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Letteratura scientifica selezionata sul tema "Knowledge acquisition (Expert systems)"

Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 29 luglio 2024

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Articoli di riviste sul tema "Knowledge acquisition (Expert systems)"

1

Brodheim, E. "Knowledge acquisition for expert systems." European Journal of Operational Research 32, no. 1 (October 1987): 153. http://dx.doi.org/10.1016/0377-2217(87)90281-5.

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Zimmermann, H. J., and Richard Weber. "Expert systems, automating knowledge acquisition." European Journal of Operational Research 39, no. 3 (April 1989): 351–52. http://dx.doi.org/10.1016/0377-2217(89)90176-8.

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Brooks, H. M. "Knowledge acquisition for expert systems." Information Processing & Management 24, no. 2 (January 1988): 208–9. http://dx.doi.org/10.1016/0306-4573(88)90117-3.

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Belkin, Brenda L., and Robert F. Stengel. "Quantitative knowledge acquisition for expert systems." Engineering Applications of Artificial Intelligence 3, no. 4 (December 1990): 271–81. http://dx.doi.org/10.1016/0952-1976(90)90026-i.

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Hwang, Gwo-Jen. "Knowledge acquisition for fuzzy expert systems." International Journal of Intelligent Systems 10, no. 6 (1995): 541–60. http://dx.doi.org/10.1002/int.4550100602.

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Edwards, Marion, and Roger E. Cooley. "Expertise in expert systems: knowledge acquisition for biological expert systems." Bioinformatics 9, no. 6 (1993): 657–65. http://dx.doi.org/10.1093/bioinformatics/9.6.657.

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Hammad, Amin, and Yoshito Itoh. "Knowledge Acquisition for Bridge Design Expert Systems." Computer-Aided Civil and Infrastructure Engineering 8, no. 3 (November 6, 2008): 211–24. http://dx.doi.org/10.1111/j.1467-8667.1993.tb00206.x.

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Neale, Ian M. "First generation expert systems: a review of knowledge acquisition methodologies." Knowledge Engineering Review 3, no. 2 (June 1988): 105–45. http://dx.doi.org/10.1017/s0269888900004288.

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Abstract (sommario):
AbstractThis paper reviews a wide range of knowledge acquisition techniques in the context of attempts to achieve a systematic methodology. These have been poorly documented by expert system builders, who are often inclined to overvalue textbooks and the ways experts themselves claim they solve problems. No one method has a universal advantage; each has some value. Techniques should be selected to suit the domain, the task, the expert and the knowledge engineer. Knowledge acquisition involves creating a conceptual model of expert knowledge and reasoning, from analysis of data elicited by these
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Усамов, И. Р., Б. Ж. Юхигов, and З. А. Магазиева. "EXPERT SYSTEMS SHELL: AN EFFECTIVE KNOWLEDGE ACQUISITION MODEL." Вестник ГГНТУ. Гуманитарные и социально-экономические науки, no. 2(28) (August 26, 2022): 80–90. http://dx.doi.org/10.34708/gstou.2022.61.19.010.

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Экспертная система - это интеллектуальная компьютерная программа, которая использует знания и процедуры вывода для решения проблем, которые считаются достаточно сложными, чтобы для их решения хватило человеческого опыта. С момента внедрения первых экспертных систем в начале 1970-х годов и последовавших за этим успехов в сочетании с преимуществами, которые человечество получило от этих ранних экспертных систем и их преемников, можно было бы ожидать, что пять десятилетий спустя произойдет бум использования экспертных систем для выполнения более специализированных задач в конкретных областях прим
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Chan, Christine, and Izak Benbasat. "Case research on knowledge acquisition: observations and lessons." Knowledge Engineering Review 6, no. 2 (June 1991): 97–120. http://dx.doi.org/10.1017/s0269888900005634.

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Abstract (sommario):
AbstractExpert systems are being built 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. A CASE research methodology is adopted, and data is collected through unobtrusive observation, from taped protocols of knowledge acquisition sessions, retrospective interviews with the participants involved, and deliverables produced. The variables examined include the problem domain, the domain expert, the knowledge engineer, the knowled
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Tesi sul tema "Knowledge acquisition (Expert systems)"

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

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

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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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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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Libri sul tema "Knowledge acquisition (Expert systems)"

1

Brulé, James F. Knowledge acquisition. New York: McGraw-Hill, 1989.

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Hart, Anna. Knowledge acquisition for expert systems. 2nd ed. New York: McGraw-Hill, 1992.

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3

1943-, Dillon Tharam S., and Knowledge Systems Research Pty Ltd., eds. Automated knowledge acquisition. New York: Prentice Hall, 1994.

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Kidd, Alison L., ed. Knowledge Acquisition for Expert Systems. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1823-1.

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Wu, Xindong. Knowledge acquisition from databases. Norwood, N.J: Ablex Pub., 1995.

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McGraw, Karen L. Knowledge acquisition: Principles and guidelines. Englewood Cliffs, N.J: Prentice-Hall, 1989.

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Muggleton, S. Inductive acquisition of expert knowledge. Wokingham: Addison-Wesley/Turing Institute Press, 1989.

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Marcus, Sandra, ed. Automating Knowledge Acquisition for Expert Systems. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4684-7122-9.

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Marcus, Sandra. Automating Knowledge Acquisition for Expert Systems. Boston, MA: Springer US, 1988.

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Fensel, Dieter. The knowledge acquisition and representation language, KARL. Boston: Kluwer Academic Publishers, 1995.

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Capitoli di libri sul tema "Knowledge acquisition (Expert systems)"

1

Mohan, Chilukuri Krishna. "Knowledge Acquisition." In Frontiers of Expert Systems, 201–36. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4509-5_8.

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Grzymala-Busse, Jerzy W. "Knowledge Acquisition." In Managing Uncertainty in Expert Systems, 43–76. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3982-7_3.

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Kidd, Alison L. "Knowledge Acquisition." In Knowledge Acquisition for Expert Systems, 1–16. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1823-1_1.

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Larichev, O. I., A. I. Mechitov, E. M. Moshkovich, and E. M. Furems. "Expert Knowledge Acquisition System." In Lecture Notes in Economics and Mathematical Systems, 517–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-49298-3_48.

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van Dijk, J. C., and Paul Williams. "Knowledge, Representation and Acquisition." In Expert Systems in Auditing, 36–49. London: Palgrave Macmillan UK, 1990. http://dx.doi.org/10.1007/978-1-349-12474-9_5.

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Wielinga, B. J., B. Bredeweg, and J. A. Breuker. "Knowledge acquisition for expert systems." In Advanced Topics in Artificial Intelligence, 96–124. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/3-540-50676-4_11.

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Hart, Anna. "Knowledge Acquisition for Expert Systems." In Knowledge, Skill and Artificial Intelligence, 103–11. London: Springer London, 1988. http://dx.doi.org/10.1007/978-1-4471-1632-5_10.

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Musen, Mark A. "An Overview of Knowledge Acquisition." In Second Generation Expert Systems, 405–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77927-5_18.

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Johnson, Leslie, and Nancy E. Johnson. "Knowledge Elicitation Involving Teachback Interviewing." In Knowledge Acquisition for Expert Systems, 91–108. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1823-1_5.

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Hart, Anna. "Role of Induction in Knowledge Elicitation." In Knowledge Acquisition for Expert Systems, 165–89. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1823-1_8.

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Atti di convegni sul tema "Knowledge acquisition (Expert systems)"

1

Becker, Lee A., and Luke Immes. "An approach to automating knowledge acquisition for expert systems." In the 15th annual conference. New York, New York, USA: ACM Press, 1987. http://dx.doi.org/10.1145/322917.322938.

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Madhusudanan, N., and Amaresh Chakrabarti. "Combining Product Information and Process Information to Build Virtual Assembly Situations for Knowledge Acquisition." In ASME 2011 World Conference on Innovative Virtual Reality. ASMEDC, 2011. http://dx.doi.org/10.1115/winvr2011-5518.

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Abstract (sommario):
Assembly is an important part of the product development process. To avoid potential issues during assembly in specialized domains such as aircraft assembly, expert knowledge to predict such issues is helpful. Knowledge based systems can act as virtual experts to provide assistance. Knowledge acquisition for such systems however, is a challenge, and this paper describes one part of an ongoing research to acquire knowledge through a dialog between an expert and a knowledge acquisition system. In particular this paper discusses the use of a situation model for assemblies to present experts with
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M.AHMED, IBRAHIM, MARCO ALFONSE, ABEER M.MAHMOUD, and ABDEL-BADEEH M.SALEM. "Knowledge Acquisition for Developing Knowledge-Base of Diabetic Expert System." In The 7th International Conference on Information Technology. Al-Zaytoonah University of Jordan, 2015. http://dx.doi.org/10.15849/icit.2015.0004.

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Aguirre, Jose-Luis, Olivia Barron, Ramon Brena, and Maria-Nelly Garcia. "Using a high level knowledge representation for expert systems knowledge acquisition and prototyping." In the 1993 ACM/SIGAPP symposium. New York, New York, USA: ACM Press, 1993. http://dx.doi.org/10.1145/162754.165210.

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Jiang, Lianxiang, Huawang Li, Genqing Yang, and Qinrong Yang. "Knowledge Acquisition Model for Satellite Fault Diagnosis Expert System." In 2009 International Conference on Computational Intelligence and Software Engineering. IEEE, 2009. http://dx.doi.org/10.1109/cise.2009.5366271.

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Belkin, B. L., and R. F. Stengel. "Systematic methods for knowledge acquisition and expert system development." In 29th IEEE Conference on Decision and Control. IEEE, 1990. http://dx.doi.org/10.1109/cdc.1990.204015.

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Sundararajan, Srikanth. "Flexible scheme for knowledge acquisition in expert system development." In Orlando '90, 16-20 April, edited by Mohan M. Trivedi. SPIE, 1990. http://dx.doi.org/10.1117/12.21067.

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Cheetham, William E., and Bruce Pomeroy. "Knowledge acquisition for a fluid bed reactor expert system." In SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, edited by Wray Buntine and Doug H. Fisher. SPIE, 1994. http://dx.doi.org/10.1117/12.169394.

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Annaiahshetty, K., and N. Prasad. "Expert System for Multiple Domain Experts Knowledge Acquisition in Software Design and Development." In 2013 UKSim 15th International Conference on Computer Modelling and Simulation (UKSim 2013). IEEE, 2013. http://dx.doi.org/10.1109/uksim.2013.124.

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Neshat, M., M. Yaghobi, M. B. Naghibi, and A. Esmaelzadeh. "Fuzzy Expert System Design for Diagnosis of Liver Disorders." In 2008 International Symposium on Knowledge Acquisition and Modeling (KAM). IEEE, 2008. http://dx.doi.org/10.1109/kam.2008.43.

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Rapporti di organizzazioni sul tema "Knowledge acquisition (Expert systems)"

1

Trimble, E. G., R. J. Allwood, and A. E. Bryman. Knowledge Acquisition for Expert Systems in Construction. Fort Belvoir, VA: Defense Technical Information Center, December 1985. http://dx.doi.org/10.21236/ada192403.

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Trimble, E. G., R. J. Allwood, and A. E. Bryman. Knowledge Acquisition for Expert Systems in Construction. Fort Belvoir, VA: Defense Technical Information Center, March 1986. http://dx.doi.org/10.21236/ada192465.

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Trimble, E. G., R. J. Allwood, and A. E. Bryman. Knowledge Acquisition for Expert Systems in Construction. Fort Belvoir, VA: Defense Technical Information Center, August 1986. http://dx.doi.org/10.21236/ada192466.

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Trimble, E. G., R. J. Allwood, and A. E. Bryman. Knowledge Acquisition for Expert Systems in Construction. Fort Belvoir, VA: Defense Technical Information Center, January 1987. http://dx.doi.org/10.21236/ada192467.

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Trimble, E. G., R. J. Allwood, A. E. Bryman, and C. N. Cooper. Knowledge Acquisition for Expert Systems in Construction. Fort Belvoir, VA: Defense Technical Information Center, February 1988. http://dx.doi.org/10.21236/ada192468.

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Trimble, E. G., R. J. Allwood, and A. E. Bryman. Knowledge Acquisition for Expert Systems in Construction. Fort Belvoir, VA: Defense Technical Information Center, August 1987. http://dx.doi.org/10.21236/ada192490.

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Heatherton, James R., and Todd T. Vikan. An Introduction to Expert Systems and Knowledge Acquisition Techniques. Fort Belvoir, VA: Defense Technical Information Center, September 1990. http://dx.doi.org/10.21236/ada227799.

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Geiwitz, James, Robert L. Klatzky, and Brian P. McCloskey. Knowledge Acquisition Techniques for Expert Systems: Conceptual and Empirical Comparisons. Fort Belvoir, VA: Defense Technical Information Center, May 1988. http://dx.doi.org/10.21236/ada219851.

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Kim, Simon S., Mary Lou Maher, Raymond E. Levitt, Martin F. Rooney, and Thomas J. Siller. Survey of the State-of-the-Art Expert/Knowledge Based Systems in Civil Engineering. Fort Belvoir, VA: Defense Technical Information Center, October 1986. http://dx.doi.org/10.21236/ada175257.

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Cao, Larry. IV. Chatbot, Knowledge Graphs, and AI Infrastructure. CFA Institute Research Foundation, April 2023. http://dx.doi.org/10.56227/23.1.10.

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Abstract (sommario):
Expert contributors discuss AI and big data applications that are being developed for financial services, such as AI-powered intelligent customer service systems; “factories” for data processing, AI, simulation, and visualization; and symbolic AI.
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