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Auswahl der wissenschaftlichen Literatur zum Thema „Expert heuristics“
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Zeitschriftenartikel zum Thema "Expert heuristics"
Khowaja, Kamran, und Dena Al-Thani. „New Checklist for the Heuristic Evaluation of mHealth Apps (HE4EH): Development and Usability Study“. JMIR mHealth and uHealth 8, Nr. 10 (28.10.2020): e20353. http://dx.doi.org/10.2196/20353.
Der volle Inhalt der QuelleGonzaga de Oliveira, Sanderson L., und Libério M. Silva. „Low-cost heuristics for matrix bandwidth reduction combined with a Hill-Climbing strategy“. RAIRO - Operations Research 55, Nr. 4 (Juli 2021): 2247–64. http://dx.doi.org/10.1051/ro/2021102.
Der volle Inhalt der QuelleRassbach, Laura, Elizabeth Bradley und Ken Anderson. „Providing Decision Support for Cosmogenic Isotope Dating“. AI Magazine 32, Nr. 2 (16.03.2011): 69. http://dx.doi.org/10.1609/aimag.v32i2.2349.
Der volle Inhalt der QuelleFrank, Lukas, Rouven Poll, Maximilian Roeglinger und Rupprecht Lea. „Design heuristics for customer-centric business processes“. Business Process Management Journal 26, Nr. 6 (22.03.2020): 1283–305. http://dx.doi.org/10.1108/bpmj-06-2019-0257.
Der volle Inhalt der QuelleChow, K. C. Ander, und W. E. Watt. „A knowledge-based expert system for flood frequency analysis“. Canadian Journal of Civil Engineering 17, Nr. 4 (01.08.1990): 597–609. http://dx.doi.org/10.1139/l90-068.
Der volle Inhalt der QuelleMehrez, A., und G. Steinberg. „Rule-Based Expert System versus Novices' Heuristics: A Matching Identification Problem“. Psychological Reports 82, Nr. 3_suppl (Juni 1998): 1423–31. http://dx.doi.org/10.2466/pr0.1998.82.3c.1423.
Der volle Inhalt der QuelleCHAN, CHRISTINE WAICHI, WEERAPONG KRITPIPHAT und PAITOON TONTIWACHWUTHIKUL. „KNOWLEDGE ENGINEERING OF A MONITORING AND CONTROL DECISION SUPPORT SYSTEM“. International Journal of Software Engineering and Knowledge Engineering 10, Nr. 03 (Juni 2000): 301–18. http://dx.doi.org/10.1142/s0218194000000183.
Der volle Inhalt der QuelleDobre, Jolie, Craig Harrington, Jennifer Herout, Charlene Weir, Ashley Cook, Tippy Carter, Donna Baggetta und Walter “Bud” Relihan. „Rapid Heuristic Evaluation: Ensuring Fast and Reliable Usability Support“. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, Nr. 1 (September 2017): 610–14. http://dx.doi.org/10.1177/1541931213601638.
Der volle Inhalt der QuelleBarai, Sudhikumar, und Padmesh Charan Pandey. „KNOWLEDGE BASED EXPERT SYSTEM APPROACH TO INSTRUMENTATION SELECTION (INSEL)“. TRANSPORT 19, Nr. 4 (31.08.2004): 171–76. http://dx.doi.org/10.3846/16484142.2004.9637971.
Der volle Inhalt der QuelleBeyer, F., D. Schneider und A. Schumacher. „Finding three-dimensional layouts for crashworthiness load cases using the graph and heuristic based topology optimization“. Structural and Multidisciplinary Optimization 63, Nr. 1 (14.11.2020): 59–73. http://dx.doi.org/10.1007/s00158-020-02768-0.
Der volle Inhalt der QuelleDissertationen zum Thema "Expert heuristics"
Smith, Susan N. „Teaching Analysis to Professional Writing Students: Heuristics Based on Expert Theories“. Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/194794.
Der volle Inhalt der QuelleMachac, Mary Kristin. „A Model of Expert Instructional Design Heuristics Incorporating Design Thinking Methods“. Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/102926.
Der volle Inhalt der QuelleDoctor of Philosophy
Instructional design is a system of procedures for developing education and training curricula in a consistent and reliable fashion (Branch and Merrill, 2011; Branch and Kopcha, 2014). It embodies an iterative process for outlining outcomes, selecting teaching and learning strategies, choosing support technologies, identifying media, and measuring performance (Branch and Kopcha, 2014). Instructional designers use models of instructional design and instructional development to communicate tasks and procedures of the instructional design process (Andrews and Goodson, 1980). Over the years, numerous models of instructional design have been developed and adapted to meet the varying needs of instructional designers and developers. There is a consensus that most instructional processes consist of five core elements or stages: analysis, design, development, implementation, and evaluation, which are commonly referred to as ADDIE (Seels and Glasgow, 1990; Branch and Kopcha, 2014). While often considered generic, the ADDIE framework contains a useful set of common criteria, which most designers state as important or necessary as a part of any instructional design process (Pittenger, Janke, and Bumgardner, 2009; York and Ertmer, 2011; 2016). Novice instructional designers have limited experience working with ill-structured problems, and often do not possess the mental models (prior experience) to effectively analyze, manage, and communicate the overall design process of new instructional design projects (Wedman and Tessmer, 1993; Rowland, 1992; Perez and Emery, 1995; Liu, Gibby, Quiros, and Demps, 2002). In their 2016 article of expert instructional design principles applied by experienced designers in practice, York and Ertmer proposed the following questions for future research, "(a) Can we teach principles to novice instructional designers? (b) What methods should we use to provide this information?" (York and Ertmer, 2016, p. 189). This research further explored these questions and offers a new model of expert instructional design heuristics incorporating design thinking methods. For this study, heuristics were defined as generalized stages of an instructional designer's process and design thinking was defined as a human-centered design process for solving complex problems. The purpose of this study was to identify design thinking methods that aligned with heuristics of expert instructional design practitioners, and to design and develop a new model of heuristics and design thinking methods, which could assist novice instructional designers as they enter the instructional design field. The literature outlines challenges reported among novice instructional designers throughout the instructional design process, which includes their ability to solve ill-structured problems; conduct thorough analyses; collaborate in teams; negotiate priorities; generate a variety of ideas for solutions; overcome resource, budget and time constraints; communicate and manage projects with stakeholders; and prototype, iterate and pilot new design solutions (Rowland, 1992; Hoard, Stefaniak, Baaki, and Draper, 2019; Roytek, 2010; Liu, Gibby, Quiros, and Demps, 2002; Chang and Kuwata, 2020; Tracey and Boling, 2014; Perez and Emery, 1995; Williams van Rooij, 1993). The model offers novice instructional designers specific methods and combinations of methods to use for every stage of the instructional design process. As instructional designers implement design thinking methods within the context of their daily situations, they should become more comfortable and begin to adapt the methods to meet their individual needs for each stage of their process.
Lim, Hedy. „Discovering expert instructional designers' heuristics for creating scenario-based workplace instruction“. Thesis, Capella University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10103202.
Der volle Inhalt der QuelleScenario-based instructional design is ideal for workplace training, as it promotes practical and performance-based learning through the use of realistic situations. The research problem is a need for well-defined heuristics, what Gibbons (2014) called operational principles and what York and Ertmer (2011) called rules of thumb, being basic guidelines that promote and characterize expertise, in the area of scenario-based online instruction. The purpose of this Delphi study was to gather expert feedback on ideas in the form of a set of best practices for scenario-based online instructional design for the workplace. The research questions break down the topic into four basic areas: identifying a learning problem, discovering scaffolds or learning resources, maintaining project momentum, and essential concerns for instructional development. Experts in workplace scenario-based instructional design, with particular emphasis on professionals with an online or academic presence, were recruited as subjects. A detailed review of the literature gathered forty-two original statements that were organized into five categories. Per Delphi methodology, the study was conducted as a three round iterative online instrument. Subjects were asked to rate each statement and to provide additional statements to clarify and expand on their best practices based on their experience. Twenty-nine subjects completed all three rounds of the research study. While the statements express a wide variety of best practices for the field, recommendations for further research generally focused on thoughtful consideration of the learner, the instructional development team, and a focus on the integrity or realistic authenticity of the learning scenario, throughout the instructional experience.
Cheam, T. S. „Expert systems and heuristics in rota design : With reference to hospital staffing“. Thesis, University of Strathclyde, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381513.
Der volle Inhalt der QuelleStuckart, Daniel W. „Secondary students using expert heuristics in the analysis of digitalized historical documents“. [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000232.
Der volle Inhalt der QuelleSzarek, Harmony Kristin. „Subjectivity in Expert Decision Making: Risk Assessment, Acceptability, and Cognitive Heuristics Affecting Endangered Species Act Listing Judgments for the Greater Yellowstone Ecosystem Grizzly Bear“. The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1430998102.
Der volle Inhalt der QuelleAhmad, Abdul-Rahim. „An Intelligent Expert System for Decision Analysis and Support in Multi-Attribute Layout Optimization“. Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/785.
Der volle Inhalt der QuelleInadequate information availability, combinatorial complexity, subjective and uncertain preferences, and cognitive biases of decision makers often hamper the procurement of a superior layout configuration. Consequently, it is desirable to develop an intelligent decision support system for layout design that could deal with such challenging issues by providing efficient and effective means of generating, analyzing, enumerating, ranking, and manipulating superior alternative layouts.
We present a research framework and a functional prototype for an interactive Intelligent System for Decision Support and Expert Analysis in Multi-Attribute Layout Optimization (IDEAL) based on soft computing tools. A fundamental issue in layout design is efficient production of superior alternatives through the incorporation of subjective and uncertain design preferences. Consequently, we have developed an efficient and Intelligent Layout Design Generator (ILG) using a generic two-dimensional bin-packing formulation that utilizes multiple preference weights furnished by a fuzzy Preference Inferencing Agent (PIA). The sub-cognitive, intuitive, multi-facet, and dynamic nature of design preferences indicates that an automated Preference Discovery Agent (PDA) could be an important component of such a system. A user-friendly, interactive, and effective User Interface is deemed critical for the success of the system. The effectiveness of the proposed solution paradigm and the implemented prototype is demonstrated through examples and cases.
This research framework and prototype contribute to the field of layout decision analysis and design by enabling explicit representation of experts? knowledge, formal modeling of fuzzy user preferences, and swift generation and manipulation of superior layout alternatives. Such efforts are expected to afford efficient procurement of superior outcomes and to facilitate cognitive, ergonomic, and economic efficiency of layout designers as well as future research in related areas.
Applications of this research are broad ranging including facilities layout design, VLSI circuit layout design, newspaper layout design, cutting and packing, adaptive user interfaces, dynamic memory allocation, multi-processor scheduling, metacomputing, etc.
Sandström, Kristian. „A study of the iOS : An exploratory article on how large of a role the iOS has played in the success of the iPhone“. Thesis, Umeå universitet, Institutionen för informatik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-45210.
Der volle Inhalt der QuelleLewis, John N. „Expert systems development utilizing heuristic methods“. Thesis, Monterey, California. Naval Postgraduate School, 1996. http://hdl.handle.net/10945/8376.
Der volle Inhalt der QuelleThis thesis analyzes the diagnostic domain and isolates the heuristics employed by experts to arrive at diagnostic solutions. These heuristic methods are then generalized in order to arrive at a series of heuristic rules that can be applied to a wide range of diagnostic processes independent of there respective domain. To test the validity of the generalized heuristics, a prototype expert system was created targeting the heuristics employed by avionics repair technicians in repair of the APS- 1 15 radar system on the P-3C Orion.
Park, SangHee. „Inoculation Information Against Contagious Disease Misperception about Flu with Heuristic vs. Systematic Information and Expert vs. Non-Expert Source“. Bowling Green State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1446827113.
Der volle Inhalt der QuelleBücher zum Thema "Expert heuristics"
Clancey, William J. Heuristic classification. [Alexandria, Va.]: DTIC, 1985.
Den vollen Inhalt der Quelle findenLewis, John N. Expert systems development utilizing heuristic methods. Monterey, Calif: Naval Postgraduate School, 1996.
Den vollen Inhalt der Quelle findenLuca, Console, Hrsg. Diagnostic problem solving: Combining heuristic, approximate and causal reasoning. (London): North Oxford Academic, 1989.
Den vollen Inhalt der Quelle findenTorasso, Pietro. Diagnostic problem solving: Combining heuristic, approximate and casual reasoning. [London]: North Oxford Academic, 1989.
Den vollen Inhalt der Quelle findenLuca, Console, Hrsg. Diagnostic problem solving: Combining heuristic, approximate, and causal reasoning. New York: Van Nostrand Reinhold, 1989.
Den vollen Inhalt der Quelle findenLowe, S. Knowledge acquisition for expert systems: A preliminary investigation into the heuristics of online searching. 1987.
Den vollen Inhalt der Quelle findenBoden, Margaret A. 2. General intelligence as the Holy Grail. Oxford University Press, 2018. http://dx.doi.org/10.1093/actrade/9780199602919.003.0002.
Der volle Inhalt der QuelleExpert Systems Development Utilizing Heuristic Methods. Storming Media, 1996.
Den vollen Inhalt der Quelle findenPeters, Ellen. Overcoming Innumeracy and the Use of Heuristics When Communicating Science. Herausgegeben von Kathleen Hall Jamieson, Dan M. Kahan und Dietram A. Scheufele. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190497620.013.42.
Der volle Inhalt der QuelleYeh, Chune-Sin. An expert system approach to the optimal design of single-junction and multijunction tandem solar cells. 1988.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Expert heuristics"
Sindre, Guttorm, Even-André Karlsson und Patricia Paul. „Heuristics for Maintaining Term Structures for Relaxed Search“. In Database and Expert Systems Applications, 20–25. Vienna: Springer Vienna, 1992. http://dx.doi.org/10.1007/978-3-7091-7557-6_4.
Der volle Inhalt der Quellevan den Herik, H. J., J. C. Stoop und P. R. Varkevisser. „Heuristics in the Abbot-Monk Problem“. In Expert Systems and Artificial Intelligence in Decision Support Systems, 175–95. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3805-2_10.
Der volle Inhalt der QuelleVan de Merckt, Thierry. „ILISCE: A system for learning control heuristics in a scheduling environment“. In Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 471–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/bfb0024999.
Der volle Inhalt der QuelleKurihara, Masahito, und Hisashi Kondo. „Heuristics and Experiments on BDD Representation of Boolean Functions for Expert Systems in Software Verification Domains“. In Advanced Topics in Artificial Intelligence, 353–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-46695-9_30.
Der volle Inhalt der QuellePuppe, Frank. „Heuristic Classification“. In Systematic Introduction to Expert Systems, 131–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77971-8_15.
Der volle Inhalt der QuellePuppe, Frank. „Heuristic Classification: Additional Mechanisms“. In Systematic Introduction to Expert Systems, 149–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77971-8_16.
Der volle Inhalt der QuelleConsole, Luca, Luigi Portinale, Daniele Theseider Dupré und Pietro Torasso. „Combining Heuristic Reasoning with Causal Reasoning in Diagnostic Problem Solving“. In Second Generation Expert Systems, 46–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77927-5_3.
Der volle Inhalt der QuelleMathur, Priyanka. „Heuristic Expert Evaluation of e-Learning Application“. In Rising Threats in Expert Applications and Solutions, 155–62. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6014-9_18.
Der volle Inhalt der QuelleNguyen-Phu, Hao. „Prolog Language — CADSD Package Interfacing Procedures: Applications to Heuristic Identification and Control of Dynamic Systems“. In Expert Systems and Robotics, 243–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76465-3_14.
Der volle Inhalt der QuelleBinder, Thomas. „Computer Assisted Generation of Heuristic Rules in the Management of Cardiac Arrhythmias“. In Expert Systems and Decision Support in Medicine, 322–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-48706-4_50.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Expert heuristics"
Joseph, Earl C. „Management by heuristics expert systems“. In the conference. New York, New York, USA: ACM Press, 1987. http://dx.doi.org/10.1145/24533.24539.
Der volle Inhalt der QuelleFillingim, Kenton B., Richard Ossie Nwaeri, Felipe Borja, Katherine Fu und Christiaan J. J. Paredis. „Design Heuristics: Analysis and Synthesis From Jet Propulsion Laboratory’s Architecture Team“. In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-85584.
Der volle Inhalt der QuelleVäätäjä, Heli, Jari Varsaluoma, Tomi Heimonen, Katariina Tiitinen, Jaakko Hakulinen, Markku Turunen, Harri Nieminen und Petri Ihantola. „Information Visualization Heuristics in Practical Expert Evaluation“. In the Beyond Time and Errors. New York, New York, USA: ACM Press, 2016. http://dx.doi.org/10.1145/2993901.2993918.
Der volle Inhalt der QuelleDa Costa, Paulo, Yingqian Zhang, Alp Akcay und Uzay Kaymak. „Learning 2-opt Local Search from Heuristics as Expert Demonstrations“. In 2021 International Joint Conference on Neural Networks (IJCNN). IEEE, 2021. http://dx.doi.org/10.1109/ijcnn52387.2021.9533697.
Der volle Inhalt der QuelleBlösch-Paidosh, Alexandra, und Kristina Shea. „Preliminary User Study on Design Heuristics for Additive Manufacturing“. In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-85908.
Der volle Inhalt der QuelleEllsworth, R., A. Parkinson und F. Cain. „The Complementary Roles of Symbolic Computing and Numerical Optimization in Engineering Design Software“. In ASME 1987 Design Technology Conferences. American Society of Mechanical Engineers, 1987. http://dx.doi.org/10.1115/detc1987-0010.
Der volle Inhalt der QuelleKota, S., A. G. Erdman, D. R. Riley, A. Esterline und J. R. Slagle. „An Expert System for Initial Selection of Dwell Linkages“. In ASME 1987 Design Technology Conferences. American Society of Mechanical Engineers, 1987. http://dx.doi.org/10.1115/detc1987-0051.
Der volle Inhalt der QuelleHart, P. K., und J. Rodriguez. „A Dual-Purpose KBES for Preliminary Structural Design“. In ASME 1989 Design Technical Conferences. American Society of Mechanical Engineers, 1989. http://dx.doi.org/10.1115/detc1989-0092.
Der volle Inhalt der QuelleDjurdjanovic, Dragan, und Jun Ni. „Measurement Scheme Synthesis in Multi-Station Machining Systems“. In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-32865.
Der volle Inhalt der QuelleRoy, Rajkumar, Ian C. Parmee und Graham Purchase. „Qualitative Evaluation of Engineering Designs Using Fuzzy Logic“. In ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-detc/dac-1449.
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