Relevant bibliographies by topics / Expert problem

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Expert problem'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "Expert problem"

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Dumas, Joseph, James Sorce, and Robert Virzi. "Expert Reviews: How Many Experts is Enough?" Proceedings of the Human Factors and Ergonomics Society Annual Meeting 39, no. 4 (October 1995): 228–32. http://dx.doi.org/10.1177/154193129503900402.

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We asked five usability specialists to review the user interface to a phone-based, interactive voice response system. The experts were instructed to conduct their review independently in three one-hour sessions and to record each usability problem on a Problem Description Sheet along with the elapsed time from the beginning of the hour. Each expert then spent one hour reviewing their problem sheets and making a summary list of problems. Finally, the experts spent two hours together on a conference call discussing their impressions and coming to consensus on a prioritized list of problems and solutions. The results showed that when allocating expert time, it is more effective to have a greater number of experts spend fewer hours than to use fewer experts for more hours. The individual summaries included the majority of the severe problems, but left out many less severe problems and added new problems. The group report did not surface any new problems, but described the problems as being caused by more basic design flaws and proposed solutions that focused on the conceptual model on which the design was based.
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W, Yunanri, Doddy Teguh Yuwono, and Ika Safitri Windarti. "SYSTEMATIC OF EXPERT SYSTEM BASE ON SOFTWARE AND CALCULATION METHOD." Jurnal Informatika, Teknologi dan Sains 2, no. 1 (February 20, 2020): 1–6. http://dx.doi.org/10.51401/jinteks.v2i1.552.

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The expert system is a system that seeks to adopt human knowledge into technology, so that technology can solve problems as is usually done by experts. A good expert system is designed to solve a particular problem by imitating the work of the experts. With expert systems, the layman can solve quite complicated problems, because in fact the problem can only be solved with the help of experts. For experts, the expert system will also assist its activities as a highly experienced assistant. Currently there are many studies that raise cases about expert systems. This study aims to create systematic on expert systems based on a collection of expert system cases and classify them based on the tools used, implementation types and frequently used methods.
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Marfalino, Hari, Mutiana Pratiwi, and Randi. "Children Disease Diagnosis System Using Forward Chaining Method (Sistem Pakar Diagnosa Penyakit Ayam Dengan Menggunakan Metode Forward Chaining)." Jurnal KomtekInfo 6, no. 2 (November 19, 2019): 179–87. http://dx.doi.org/10.35134/komtekinfo.v6i2.57.

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Expert systems are widely used in various types of fields, one of which is in the field of animal husbandry. The number of chicken farms that appear is not comparable with information and knowledge about raising chickens, so dependence on experts is the only solution in handling chicken disease problems. Expert systems can be a solution to problems that arise in terms of handling chicken disease. Expert systems that are built using the forward chaining method can work like an expert who can deduce the problem from the symptoms given. With the existence of an expert system, dependence on experts is no longer a solution in dealing with the problem of chicken disease, because ordinary people can also provide action like an expert.
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Arisandi, Diki. "PENGUJIAN RULE PADA SISTEM PAKAR PENANGANAN CEDERA OLAHRAGA BOLA BASKET." Rabit : Jurnal Teknologi dan Sistem Informasi Univrab 1, no. 2 (July 10, 2016): 94–103. http://dx.doi.org/10.36341/rabit.v1i2.27.

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Expert system is a system created using computers that aims to imitate experts in solving problems. This expert system was built to deal with injury problems in basketball, including how to treat them. Before use, expert systems must be tested first so that no errors occur when used. Testing uses the black-box method, which means testing the system output based on input. In addition, the rules and inference in this expert system are also tested so that each stage of consultation produces a solution that is in accordance with the knowledge of the experts. After going through the testing process, it is hoped that this expert system can be used by the experts themselves and other users in overcoming the problem of injury in basketball.
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Syaputra, Asep, and Dedi Setiadi. "SISTEM PAKAR DIAGNOSA KERUSAKAN SEPEDA MOTOR YAMAHA MATIC MENGGUNAKAN METODE FORWARD CHAINING." Jusikom : Jurnal Sistem Komputer Musirawas 5, no. 2 (November 29, 2020): 126–35. http://dx.doi.org/10.32767/jusikom.v5i2.1039.

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The expert system is a computer-based system that uses knowledge, facts, and reasoning techniques to solve problems that usually only experts in their field can solve. The development of an expert system is aimed to help Yamaha motorbike users to solve damage problems to a Yamaha Automatic motorcycle. Damage to a Yamaha Automatic motorcycle is a problem that requires experts (technicians) to rely on their knowledge to solve the problem. This system is built using the forward chaining method which is used to test the factors that have been entered by using the rules stored in the system until a conclusion is obtained. By using the forward chaining method, it is hoped that it can help the system in diagnosing the damage to the Yamaha Automatic motorcycle engine. Therefore, by applying an expert system for motorcycle engine damage, the problem of Yamaha Automatic motorcycle engine damage can be resolved.
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McClure, Janice E. "DEVELOPMENT OF AN EXPERT SYSTEM." HortScience 26, no. 6 (June 1991): 795B—795. http://dx.doi.org/10.21273/hortsci.26.6.795b.

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The development of expert systems in agriculture consists of many steps such as problem definition, selection of experts, audience considerations, knowledge representation, coding, testing, and feedback. The problem definition and selection of experts for the problem domain are the foundation of a working system. Audience definition, economics and goal setting are areas that must be documented before knowledge engineering. Knowledge representation methods and system conceptual layout are the next level of development. The use of the user feedback and field testing data to improve the system are often overlooked. Benefits of expert systems for on farm decision making include education, efficiency, and adaption to changing regulations. Many aspects of agricultural expert systems are similar to traditional expert systems; yet special problem inherent in agriculture make the development interesting and challenging.
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Hazaymeh, Ayman A., Ismail B. Abdullah, Zaid T. Balkhi, and Rose I. Ibrahim. "Generalized Fuzzy Soft Expert Set." Journal of Applied Mathematics 2012 (2012): 1–22. http://dx.doi.org/10.1155/2012/328195.

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In 2011 Alkhazaleh and Salleh defined the concept of soft expert sets where the user can know the opinion of all the experts in one model and give an application of this concept in decision-making problems. Also, they introduced the concept of the fuzzy soft expert set as a combination between the soft expert set and the fuzzy set. In 2010 Majumdar and Samanta presented the concept of a generalized fuzzy soft sets. The purpose of this paper is to combine the work of Alkhazaleh and Salleh (2011) and Majumdar and Samanta (2010), from which we can obtain a new concept: generalized fuzzy soft expert sets (GFSESs). We also introduce its operations, namely, complement, union intersection, “AND” and “OR”, and study their properties. The generalized fuzzy soft expert sets are used to analyze a decision-making problem. Also in our model the user can know the opinion of all experts in one model. In this work we also introduce the concept of a generalized fuzzy soft expert sets with multiopinions (four opinions), which will be more effective and useful. Finally, we give an application of this concept in decision-making problem.
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Alkhazaleh, Shawkat, and Abdul Razak Salleh. "Soft Expert Sets." Advances in Decision Sciences 2011 (January 4, 2011): 1–12. http://dx.doi.org/10.1155/2011/757868.

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In 1999, Molodtsov introduced the concept of soft set theory as a general mathematical tool for dealing with uncertainty. Many researchers have studied this theory, and they created some models to solve problems in decision making and medical diagnosis, but most of these models deal only with one expert. This causes a problem with the user, especially with those who use questionnaires in their work and studies. In our model, the user can know the opinion of all experts in one model. So, in this paper, we introduce the concept of a soft expert set, which will more effective and useful. We also define its basic operations, namely, complement, union intersection AND, and OR. Finally, we show an application of this concept in decision-making problem.
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Chan, W. T., and Lawrence C. C. Koe. "A Knowledge-Based Framework for the Diagnosis of Sludge Bulking in the Activated Sludge Process." Water Science and Technology 23, no. 4-6 (February 1, 1991): 847–55. http://dx.doi.org/10.2166/wst.1991.0536.

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Despite advances in the understanding of the activated sludge process for treating wastewater, the operation of an activated sludge process plant - in particular, the detection, diagnosis and remedy of operational problems - still involves a significant amount of qualitative knowledge derived from empirical observations. Expert systems can be of assistance to plant operators in problem diagnosis by automating the problem-solving behavior of human experts and retrieving the appropriate chunks of qualitative knowledge from a large collection of such knowledge as the context of the problem dictates. A new generation of expert systems shell delivers better performance by providing (i) an object-centred framework with interesting computational properties to organize the considerable amounts of information about the physical world, (ii) flexible, context-dependent and programmable inference strategies to better model the problem-solving behavior of human experts, (iii) a reliable means of integrating numeric and symbolic computation, and (iv) a means for the expert system application to couple its inference procedure with its ability to interact with events in the real world through sensors and actuators. A prototype expert system employing a new generation expert system shell has been developed for diagnosing the sludge bulking problem in the activated sludge process. The paper discusses the knowledge representation scheme employed in the prototype, which is general enough to be extended to cover other operational problems occurring in sewage treatment plants. A study was performed to validate the knowledge in the prototype by comparing the conclusions of a panel of human experts reported in the literature with those of the prototype in response to a wide range of operating conditions. The study shows close agreement between the two sets of conclusions.
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Aeni, Khurotul. "Penerapan Metode Forward Chaining Pada Sistem Pakar Untuk Diagnosa Hama Dan Penyakit Padi." INTENSIF 2, no. 1 (February 16, 2018): 79. http://dx.doi.org/10.29407/intensif.v2i1.11841.

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So that the computer can act as and as good as a human being, then the computer should be given the lack of knowledge that has the ability to catch. One of them is an expert system, is a system that attempted to adopt human knowledge to a computer that is designed to model the ability to resolve problems such as befits an expert. With this expert system, people who have yet to figure it out at all to resolve the problem or just simply looking for an actual information can only be obtained with the help of experts in their field. Knowledge society in Indonesia about pests and diseases of rice plant is still low, including handling is known only to the extent of the knowledge of fellow farmers, pest and disease if there is a new kind of farmers are not aware of it, on the other hand there are some the expert or experts who know about the pests and diseases of rice plant, but the number of experts or experts with a large number of farmers are not balanced. Therefore, due to the application of the method of forward chaining inference on expert system to diagnose plant pests and diseases of rice can be the information and knowledge that will help the community or individuals to know the types of pests and what diseases that attack the rice plant, without having to wait and expect a straight answer from the experts
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Dissertations / Theses on the topic "Expert problem"

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Zermeño, Vallés Luis G. (Luis Guillermo). "Essays on the principal-expert problem." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/72843.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Economics, 2012.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 132-136).
This dissertation studies the problem of motivating an expert to help a principal take a decision. The first chapter examines a principal-expert model in which the only source of friction is that the expert must be induced to acquire non-verifiable information relevant for the principal's decision. I show that contracts that specify a single transfer scheme are strictly dominated by contracts that specify a menu of transfer schemes from which the expert can choose. Optimal menu contracts often induce inefficient decision-making. Indeed., in environments where decisions affect the amount of information that is revealed ex-post. distorting decision-making in favor of decisions that reveal more information can help to provide better incentives for information acquisition. Without menus, there is an additional reason to distort decision-making. In this case, distorting decision-making is almost always optimal, and the distortions can favor decision that reveal less information ex-post. The second chapter studies the role of authority in a more general version of the principal-expert model studied in chapter 1. Contracts specify a menu of transfer schemes from which the expert can choose. I consider three possible allocations of authority: 1) Full-commitment, under which the expert's choice from the menu also determines the decision to be taken. 2) Expert-authority, under which the expert can ultimately take any decision. 3) Principalauthority, under which the principal can ultimately take any decision. I provide conditions under which any Pareto-optimal outcome implementable under full-commitment can also be implemented when either one of the parties has authority. The third chapter analyzes what happens if the expert is not motivated through a contract, but through his concern about his reputation. The expert can be a charlatan (and have no relevant information) or informed, and he privately knows his type. The principal makes inference about the expert's type based on the expert's report and on the outcome of the decision. I show that the expert's concern about his reputation coarsens the information that he can credibly transmit. As a result, decision-making is biased away from the status quo: the decision that the principal would take under the prior is taken too infrequently.
by Luis G. Zermeño Vallés.
Ph.D.
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Elson, John L. "Expert and novice performance in an industrial engineering scaled world simulation." Columbus, Ohio : Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1067371218.

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Thesis (Ph. D.)--Ohio State University, 2003.
Title from first page of PDF file. Document formatted into pages; contains xi, 230 p.; also includes graphics (some col.). Includes abstract and vita. Advisor: Clark Mount-Campbell, Dept. of Industrial, Welding and Systems Engineering. Includes bibliographical references (p. 224-230).
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Ting, Song. "Expert vs. Novice: Problem Decomposition/Recomposition in Engineering Design." DigitalCommons@USU, 2014. https://digitalcommons.usu.edu/etd/3104.

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The purpose of this research was to investigate the differences of using problem decomposition and problem recomposition among dyads of engineering experts, dyads of engineering seniors, and dyads of engineering freshmen. Fifty participants took part in this study. Ten were engineering design experts, 20 were engineering seniors, and 20 were engineering freshmen. Participants worked in dyads to complete an engineering design challenge within an hour. The entire design process was video and audio recorded. After the design session, members participated in a group interview. This study used protocol analysis as the methodology. Video and audio data were transcribed, segmented, and coded. Two coding systems including the FBS ontology and “levels of the problem” were used in this study. A series of statistical techniques were used to analyze data. Interview data and participants’ design sketches also worked as supplemental data to help answer the research questions. By analyzing the quantitative and qualitative data, it was found that students used less problem decomposition and problem recomposoition than engineer experts in engineering design. This result implies that engineering education should place more importance on teaching problem decomposition and problem recomposition. Students were found to spend less cognitive effort when considering the problem as a whole and interactions between subsystems than engineer experts. In addition, students were also found to spend more cognitive effort when considering details of subsystems. These results showed that students tended to use dept-first decomposition and experts tended to use breadth-first decomposition in engineering design. The use of Function (F), Behavior (B), and Structure (S) among engineering experts, engineering seniors, and engineering freshmen was compared on three levels. Level 1 represents designers consider the problem as an integral whole, Level 2 represents designers consider interactions between subsystems, and Level 3 represents designers consider details of subsystems. The results showed that students used more S on Level 1 and 3 but they used less F on Level 1 than engineering experts. The results imply that engineering curriculum should improve the teaching of problem definition in engineering design because students need to understand the problem before solving it.
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Redmond, Michael Albert. "Learning by observing and understanding expert problem solving." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/9255.

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Pedersen, Susan Jane. "Cognitive modeling during problem-based learning : the effects of a hypermedia expert tool /." Digital version accessible at:, 2000. http://wwwlib.umi.com/cr/utexas/main.

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Azevedo, Roger. "Expert problem solving in mammogram interpretation, a visual cognitive task." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0002/NQ44353.pdf.

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Ramdass, Dennis L. "Designing Bayesian networks for highly expert-involved problem diagnosis domains." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/53169.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.
Includes bibliographical references (leaves 55-56).
Systems for diagnosing problems in highly complicated problem domains have been traditionally very difficult to design. Such problem diagnosis systems have often been restricted to the use of primarily rule-based methods for problem diagnosis in cases where machine learning for probabilistic methods has been made difficult by limited available training data. The probabilistic diagnostic methods that do not require a substantial amount of available training data usually require considerable expert involvement in design. This thesis proposes a model which balances the amount of expert involvement needed and the complexity of design in cases where training data for machine learning is limited. This model aims to use a variety of techniques and methods to translate, and augment, experts' quantitative knowledge of their problem diagnosis domain into quantitative parameters for a Bayesian network model which can be used to design effective and efficient problem diagnosis systems.
by Dennis L. Ramdass.
M.Eng.
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Cayuela, Rafols Marc. "Algorithmic Study on Prediction with Expert Advice : Study of 3 novel paradigms with Grouped Experts." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254344.

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The main work for this thesis has been a thorough study of the novel Prediction with Partially Monitored Grouped Expert Advice and Side Information paradigm. This is newly proposed in this thesis, and it extends the widely studied Prediction with Expert Advice paradigm. The extension is based on two assumptions and one restriction that modify the original problem. The first assumption, Grouped, presumes that the experts are structured into groups. The second assumption, Side Information, introduces additional information that can be used to timely relate predictions with groups. Finally, the restriction, Partially Monitored, imposes that the groups’ predictions are only known for one group at a time. The study of this paradigm includes the design of a complete prediction algorithm, the proof of a theoretical bound of the worse-case cumulative regret for such algorithm, and an experimental evaluation of the algorithm (proving the existence of cases where this paradigm outperforms Prediction with Expert Advice). Furthermore, since the development of the algorithm is constructive, it allows to easily build two additional prediction algorithms for the Prediction with Grouped Expert Advice and Prediction with Grouped Expert Advice and Side Information paradigms. Therefore, this thesis presents three novel prediction algorithms, with corresponding regret bounds, and a comparative experimental evaluation including the original Prediction with Expert Advice paradigm.
Huvudarbetet för den här avhandlingen har varit en grundlig studie av den nya Prediction with Partially Monitored Grouped Expert Advice and Side Information paradigmet. Detta är nyligen föreslagit i denna avhandling, och det utökar det brett studerade Prediction with Expert Advice paradigmet. Förlängningen baseras på två antaganden och en begränsning som ändrar det ursprungliga problemet. Det första antagandet, Grouped, förutsätter att experterna är inbyggda i grupper. Det andra antagandet, Side Information, introducerar ytterligare information som kan användas för att i tid relatera förutsägelser med grupper. Slutligen innebär begränsningen, Partially Monitored, att gruppens förutsägelser endast är kända för en grupp i taget. Studien av detta paradigm innefattar utformningen av en komplett förutsägelsesalgoritm, beviset på en teoretisk bindning till det sämre fallet kumulativa ånger för en sådan algoritm och en experimentell utvärdering av algoritmen (bevisar förekomsten av fall där detta paradigm överträffar Prediction with Expert Advice). Eftersom algoritmens utveckling är konstruktiv tillåter den dessutom att enkelt bygga två ytterligare prediksionsalgoritmer för Prediction with Grouped Expert Advice och Prediction with Grouped Expert Advice and Side Information paradigmer. Därför presenterar denna avhandling tre nya prediktionsalgoritmer med motsvarande ångergränser och en jämförande experimentell utvärdering inklusive det ursprungliga Prediction with Expert Advice paradigmet.
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Schroeder, Carolyn M. "Expert-novice interaction in problematizing a complex environmental science issue using web-based information and analysis tools." Texas A&M University, 2005. http://hdl.handle.net/1969.1/3733.

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Solving complex problems is integral to science. Despite the importance of this type of problem solving, little research has been done on how collaborative teams of expert scientists and teams of informed novices solve problems in environmental science and how experiences of this type affect the novices’ understandings of the nature of science (NOS) and the novices’ teaching. This study addresses these questions: (1) how do collaborative teams of scientists with distributed expertise and teams of informed novices with various levels of distributed expertise solve complex environmental science issues using web-based information and information technology (IT) analysis tools? and, (2) how does working in a collaborative scientific team improve informed novices’ understandings of the nature of authentic scientific inquiry and impact their classroom inquiry products? This study was conducted during Cohort II of the Information Technology in Science project within the Sustainable Coastal Margins scientific group. Over two summers, four environmental scientists from various disciplines led ten science teacher and graduate student participants in learning how each discipline approaches and solves environmental problems. Participants were also instructed about NOS by science educators and designed an inquiry project for use in their classroom. After performing a pilot study of the project, they revised it during the second summer and the entire experience culminated with diverse teams problematizing and solving environmental issues. Data were analyzed using statistical and qualitative techniques. Analysis included evaluation of participants’ responses to a NOS pre- and posttest, their inquiry projects, interviews, and final projects. Results indicate that scientists with distributed expertise approach solving environmental problems differently depending on their backgrounds, but that informed novice and expert teams used similar problem-solving processes and had similar difficulties. As a result of the project, I developed a model of distributed group problem solving for environmental science. Participants’ understandings of NOS improved and matured after instruction and experience working with scientists. The level of most instructional products was “guided inquiry.” The implications are that working with scientists along with direct NOS instruction is beneficial for teachers and science graduate students for their understanding of scientific problem solving, but that much more work needs to be done to achieve authentic inquiry in science classrooms at both secondary and post-secondary levels.
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Martin, Olga J. "Retranslation a problem in computing with perceptions /." Diss., Online access via UMI:, 2008.

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Thesis (Ph. D.)--State University of New York at Binghamton, Thomas J. Watson School of Engineering and Applied Science, Department of Systems Science and Industrial Engineering, 2008.
Includes bibliographical references.
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Books on the topic "Expert problem"

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Johan, De Kleer, ed. Building problem solvers. Cambridge, Mass: MIT Press, 1993.

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Norman, L. C. Mathland: The expert version. Cambridge [England]: New York, 1994.

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1942-, Chandrasekaran B., ed. Design problem solving: Knowledge structures and control strategies. London: Pitman, 1989.

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1942-, Steinbach Rosanne, ed. Expert problem solving: Evidence from school and district leaders. Albany: State University of New York Press, 1995.

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Willigenburg, Theodoor van. Inside the ethical expert: Problem solving in applied ethics. Kampen, Netherlands: Kok Pharos Pub. House, 1991.

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Puppe, Frank. Systematic introduction to expert systems: Knowledge representations and problem-solving methods. Berlin: Springer-Verlag, 1993.

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Windridge, David. An optimal solution to the problem of multiple expert fusion. Guildford: Department of Electronic and Electrical Engineering, University of Surrey, 2000.

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Puppe, Frank. Systematic Introduction to Expert Systems: Knowledge Representations and Problem-Solving Methods. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993.

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Delaney, Gayle M. V. Living your dreams: The classic bestseller on becoming your own dream expert. San Francisco: HarperSanFrancisco, 1996.

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Gómez-Pérez, José Manuel. Acquisition and understanding of process knowledge using problem solving methods. [Amsterdam]: IOS Press, 2010.

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Book chapters on the topic "Expert problem"

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Vallath, Murali. "Problem Diagnosis." In Expert Oracle RAC Performance Diagnostics and Tuning, 615–52. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6710-2_18.

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Puppe, Frank. "Previous Approaches to Problem Classification." In Systematic Introduction to Expert Systems, 89–100. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77971-8_11.

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Puppe, Frank. "Principles of Problem-Solving Methods." In Systematic Introduction to Expert Systems, 101–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77971-8_12.

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Kościałkowska-Okońska, Ewa. "Researching Translation Competence: The Expert Problem." In Second Language Learning and Teaching, 219–32. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00161-6_16.

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Simmons, Reid, and Randall Davis. "The Roles of Knowledge and Representation in Problem Solving." In Second Generation Expert Systems, 27–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77927-5_2.

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Silver, Edward A., and Wendy Metzger. "Aesthetic Influences on Expert Mathematical Problem Solving." In Affect and Mathematical Problem Solving, 59–74. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3614-6_5.

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Puppe, Frank. "Survey of the Problem-Solving Type Classification." In Systematic Introduction to Expert Systems, 115–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77971-8_13.

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Puppe, Frank. "Review of the Problem-Solving Type Construction." In Systematic Introduction to Expert Systems, 207–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77971-8_21.

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Puppe, Frank. "Review of the Problem-Solving Type Simulation." In Systematic Introduction to Expert Systems, 265–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77971-8_29.

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Bellahsene, Z., and O. Massiot. "Toward a Knowledge model of problem solving." In Database and Expert Systems Applications, 367–73. Vienna: Springer Vienna, 1990. http://dx.doi.org/10.1007/978-3-7091-7553-8_60.

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Conference papers on the topic "Expert problem"

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Çal, Murat. "Istanbul Traffic Problem: Expert Opinions." In ISMC 2017 13th International Strategic Management Conference. Cognitive-Crcs, 2017. http://dx.doi.org/10.15405/epsbs.2017.12.02.3.

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Brown, David C. "Expert system problem-solving applications (abstract)." In the 1986 ACM fourteenth annual conference. New York, New York, USA: ACM Press, 1986. http://dx.doi.org/10.1145/324634.325047.

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MAZILESCU, Vasile. "An Expert System for a Business Problem." In 18th edition of the Conference “Risk in Contemporary Economy” RCE2017, June 9-10, 2017, Galati, Romania. LUMEN Publishing House, 2017. http://dx.doi.org/10.18662/lumproc.rce2017.1.49.

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Jones, Darrick C., Marina Malysheva, AJ Richards, Gorazd Planinšic, and Eugenia Etkina. "Resource Activation Patterns In Expert Problem Solving." In 2013 Physics Education Research Conference. American Association of Physics Teachers, 2014. http://dx.doi.org/10.1119/perc.2013.pr.037.

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Koenemann, Jürgen, and Scott P. Robertson. "Expert problem solving strategies for program comprehension." In the SIGCHI conference. New York, New York, USA: ACM Press, 1991. http://dx.doi.org/10.1145/108844.108863.

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Dimitrov, V. P., L. V. Borisova, and I. N. Nurutdinova. "ANALYSIS OF FUZZY EXPERT INFORMATION ABOUT EXTERNAL FACTORS IN THE PROBLEM OF GRAIN HARVESTER TECHNOLOGICAL ADJUSTMENT." In INNOVATIVE TECHNOLOGIES IN SCIENCE AND EDUCATION. DSTU-Print, 2020. http://dx.doi.org/10.23947/itno.2020.366-370.

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The article deals with the analysis and presentation of fuzzy expert information about the external conditions in which the combine harvester operates. The subject area "Technological adjustment of the harvester" is investigated. Based on the information received from 4 experts, external factors essential for the cleaning process are identified, their linguistic description is given, linguistic variables are introduced, membership functions are constructed, and consistency characteristics are calculated. A fuzzy expert knowledge base has been created for the acquisition and adjustment of knowledge of an intelligent decision support system for an operator in the field.
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LIROV, YUVAL. "Expert systems approach for generalized traveling salesman problem." In Guidance, Navigation and Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1987. http://dx.doi.org/10.2514/6.1987-2328.

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Na-na Li, Zheng Zhao, JunHua Gu, and Bo-Ying Liu. "Ant colony optimization algorithm for expert assignment problem." In 2008 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2008. http://dx.doi.org/10.1109/icmlc.2008.4620487.

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Junqing Li, Juping Peng, and Yingbin Wei. "Adaptive Parallel Genetic Algorithm for Expert Assignment Problem." In 2013 6th International Symposium on Computational Intelligence and Design (ISCID). IEEE, 2013. http://dx.doi.org/10.1109/iscid.2013.13.

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Li, Na-Na, Jian-Nan Zhang, Jun-Hua Gu, and Bo-Ying Liu. "Solving Expert Assignment Problem using Improved Genetic Algorithm." In 2007 International Conference on Machine Learning and Cybernetics. IEEE, 2007. http://dx.doi.org/10.1109/icmlc.2007.4370276.

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Reports on the topic "Expert problem"

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Chandrasekaran, B. Explanation and the Theory of Expert Problem Solving. Fort Belvoir, VA: Defense Technical Information Center, February 1990. http://dx.doi.org/10.21236/ada220861.

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Kolodner, Janet L. The Role of Experience in Common-Sense and Expert Problem Solving. Fort Belvoir, VA: Defense Technical Information Center, March 1988. http://dx.doi.org/10.21236/ada191968.

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Srinivasan, C. V. The Use of CK-LOG Formalism for Knowledge Representation and Problem Solving in OPPLAN-CONSULTANT: An Expert System for Naval Operational Planning. Fort Belvoir, VA: Defense Technical Information Center, September 1985. http://dx.doi.org/10.21236/ada160999.

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Kobayashi, A., and B. Claise, eds. IP Flow Information Export (IPFIX) Mediation: Problem Statement. RFC Editor, August 2010. http://dx.doi.org/10.17487/rfc5982.

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Billaux, D., M. Uszynski, and S. Benson. The applicability of expert systems to risk analysis for waste disposal problems. Office of Scientific and Technical Information (OSTI), March 1988. http://dx.doi.org/10.2172/5435781.

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Marshak, David. Kamoon Connects Experts and Their Know-How to Solve Customer Problems. Boston, MA: Patricia Seybold Group, April 2002. http://dx.doi.org/10.1571/pr4-4-02cc.

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Yaya Quezada, Carlos Julián, Daniel Ignacio Garzón Luna, John Vergel, and Gustavo-Adolfo Quintero-Hernandez. ¿Necesitamos “expertos”? El facilitador del aprendizaje basado en problemas en la educación médica. Universidad del Rosario, 2021. http://dx.doi.org/10.12804/issne.2500-6428_10336.21176_emcs.

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Winkler-Portmann, Simon. Umsetzung einer wirksamen Compliance in globalen Lieferketten am Beispiel der Anforderungen aus der europäischen Chemikalien-Regulierung an die Automobilindustrie. Sonderforschungsgruppe Institutionenanalyse, August 2020. http://dx.doi.org/10.46850/sofia.9783941627796.

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This publication based on a master thesis explores the challenges of the automotive industry regarding the European chemical regulations REACH and CLP, as well as potential improvements of the current compliance activities and the related incentives and barriers. It answers the research question: "To what extent should the compliance activities of actors in the automotive supply chain be extended in order to meet the requirements of European chemicals regulation; and where would it help to strengthen incentives in enforcement and the legal framework?“. The study’s structure is based on the transdisciplinary delta analysis of the Society for Institutional Analysis at the Darmstadt University of Applied Sciences. It compares the target state of the legal requirements and the requirements for corresponding compliance with the actual state of the actual compliance measures of the automotive players and attempts to identify their weak points (the delta). The main sources for the analysis are the legal texts and relevant court decisions as well as guideline-based expert interviews with automotive players based on Gläser & Laudel. As objects of the analysis, there are in addition answers to random enquiries according to Article 33 (2) REACH as well as the recommendations and guidelines of the industry associations. The analysis identifies the transmission of material information in the supply chain as a key problem. The global database system used for this purpose, the IMDS, shows gaps in the framework conditions. This results in compliance risk due to the dynamically developing regulation. In addition, the study identifies an incompliance of the investigated automobile manufacturers with regard to Art. 33 REACH. In answering the research question, the study recommends solutions to the automotive players that extend the current compliance activities. In addition, it offers tables and process flow diagrams, which structure the duties and required compliance measures and may serve as basic audit criteria. The analysis is carried out from an external perspective and looks at the entire industry. It therefore cannot cover all the individual peculiarities of each automotive player. As a result, the identified gaps serve only as indications for possible further compliance risks.
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Sanz, E., M. Lascurain, A. Serrano, B. Haidar, P. Alonso, and J. García-Espinosa. Needs and requirements analysis. Scipedia, 2021. http://dx.doi.org/10.23967/prodphd.2021.9.001.

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The prodPhD project aims to address the challenging problem of introducing entrepreneurship training in PhD programmes regardless of discipline. The prodPhD project will create the necessary teaching methodologies and the platform for applying them. The project consists of a consortium of four organizations from across Europe. The main objective of the prodPhD project is to implement innovative social network-based methodologies for teaching and learning entrepreneurship in PhD programmes. The multidisciplinary teaching and learning methodologies will enable entrepreneurship education to be introduced into any PhD programme, providing students with the knowledge, skills, and motivation to engage in entrepreneurial activities. The methodology will be conceived to develop experiential knowledge, involving academics, entrepreneurship experts, and mentors in its development and implementation. Besides, the exchange of experience, competences, and approaches facilitated by social networking will pave the way to crowdsourcing new ideas, improving training methodologies, and stimulating academics’ entrepreneurial skills.
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Erkamo, Sanna, Karoliina Pilli-Sihvola, Atte Harjanne, and Heikki Tuomenvirta. Climate Security and Finland – A Review on Security Implications of Climate Change from the Finnish Perspective. Finnish Meteorological Institute, 2021. http://dx.doi.org/10.35614/isbn.9789523361362.

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This report describes the effects of climate change for Finland from the view of comprehensive security. The report examines both direct and indirect climate security risks as well as transition risks related to climate change mitigation. The report is based on previous research and expert interviews. Direct security risks refer to the immediate risks caused by the changing nature of natural hazards. These include the risks to critical infrastructure and energy systems, the logistics system, health and food security. Indirect security risks relate to the potential economic, political and geopolitical impacts of climate change. Climate change can affect global migration, increase conflict risk, and cause social tensions and inequality. Transition risks are related to economic and technological changes in energy transition, as well as political and geopolitical tensions and social problems caused by climate change mitigation policies. Reducing the use of fossil fuels can result in domestic and foreign policy tensions and economic pressure especially in locations dependent on fossil fuels. Political tension can also increase the risks associated with hybrid and information warfare. The security effects of climate change affect all sectors of society and the Finnish comprehensive security model should be utilized in preparing for them. In the short run, the most substantial arising climate change related security risks in Finland are likely to occur through indirect or transition risks. Finland, similar to other wealthy countries, has better technological, economic and institutional conditions to deal with the problems and risks posed by climate change than many other countries. However, this requires political will and focus on risk reduction and management.
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