Relevant bibliographies by topics / Conceptual reasoning

Contents

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

Academic literature on the topic 'Conceptual reasoning'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Conceptual reasoning"

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Dantlgraber, Michael, Tim Kuhlmann, and Ulf-Dietrich Reips. "Conceptual fluency in inductive reasoning." PLOS ONE 14, no. 11 (2019): e0225050. http://dx.doi.org/10.1371/journal.pone.0225050.

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Gerken, Mikkel. "Conceptual Equivocation and Warrant by Reasoning." Australasian Journal of Philosophy 89, no. 3 (2011): 381–400. http://dx.doi.org/10.1080/00048402.2010.488267.

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Bergamaschi, Sonia, and Claudio Sartori. "On taxonomic reasoning in conceptual design." ACM Transactions on Database Systems 17, no. 3 (1992): 385–422. http://dx.doi.org/10.1145/132271.132272.

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Welch, Richard V., and John R. Dixon. "Guiding conceptual design through behavioral reasoning." Research in Engineering Design 6, no. 3 (1994): 169–88. http://dx.doi.org/10.1007/bf01607277.

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Hung, Woei, and David H. Jonassen. "Conceptual Understanding of Causal Reasoning in Physics." International Journal of Science Education 28, no. 13 (2006): 1601–21. http://dx.doi.org/10.1080/09500690600560902.

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Cyre, W. R. "Conceptual representation of waveforms for temporal reasoning." IEEE Transactions on Computers 43, no. 2 (1994): 186–200. http://dx.doi.org/10.1109/12.262123.

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Hacid, M. S., J. M. Petit, and F. Toumani. "Representing and Reasoning on Database Conceptual Schemas." Knowledge and Information Systems 3, no. 1 (2001): 52–80. http://dx.doi.org/10.1007/pl00011659.

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Nilsson, Per. "Conceptual variation and coordination in probability reasoning." Journal of Mathematical Behavior 28, no. 4 (2009): 247–61. http://dx.doi.org/10.1016/j.jmathb.2009.10.003.

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Houser, Nathan. "Peirce on Practical Reasoning." American Journal of Semiotics 36, no. 1 (2020): 117–34. http://dx.doi.org/10.5840/ajs202082763.

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It is generally agreed that what distinguishes practical reasoning from more thoughtful reasoning is that practical reasoning properly results in action rather than in conceptual conclusions. There is much disagreement, however, about how appropriate actions follow from practical reasoning and it is commonly supposed that the connection between reasoning and action can neither be truly inferential nor strictly causal. Peirce appears to challenge this common assumption. Although he would agree that conscious and deliberate argumentation results in conceptual conclusions (mental states) rather t
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Tselishchev, Vitaly V. "Mathematical Reasoning." Epistemology & Philosophy of Science 57, no. 4 (2020): 74–86. http://dx.doi.org/10.5840/eps202057459.

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The article is devoted to the comparison of two types of proofs in mathematical practice, the methodological differences of which go back to the difference in the understanding of the nature of mathematics by Descartes and Leibniz. In modern philosophy of mathematics, we talk about conceptual and formal proofs in connection with the so-called Hilbert Thesis, according to which every proof can be transformed into a logical conclusion in a suitable formal system. The analysis of the arguments of the proponents and opponents of the Thesis, “conceptualists” and “formalists”, is presented respectiv
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Dissertations / Theses on the topic "Conceptual reasoning"

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Nowak, Krzysztof Zbigniew. "Conceptual reasoning : belief, multiple agents and preference /." Title page, table of contents and abstract only, 1998. http://web4.library.adelaide.edu.au/theses/09PH/09phn946.pdf.

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Degirmenci, Yilmaz. "Reasoning by analogy using holographic conceptual projection." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02sep%5FDegirmenci.pdf.

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Meisel, Helmut. "Ontology representation and reasoning : a conceptual level approach." Thesis, University of Aberdeen, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.420216.

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Ontologies play a key role in many areas of Computing Science, such as Information Retrieval, Knowledge Management, and Knowledge Engineering. However, Ontology development and maintenance is a challenging task that is currently not very well supported by software tools. Most existing ontology editors cannot provide the kind of automated reasoning support that is required for the verification and for the validation of ontologies. More concretely, such an automated support should (i) check the ontology consistency and (ii) suggest possible enhancements to the ontology taxonomy. Description Logi
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Croitoru, Madalina. "Conceptual graphs at work : efficient reasoning and applications." Thesis, University of Aberdeen, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.439993.

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This thesis describes original research in the field of knowledge representation and reasoning by presenting novel extensions to the Conceptual Graph formalism which increase their reasoning capabilities and conceptual modelling applicability in Artificial Intelligence.  Conceptual Graphs benefit from graph-based reasoning mechanisms, plug-in capabilities over existing data structures and good visualization capabilities.  These advantages have to be adapted for an information era where quick results and representation versatility are essential for successful frameworks.  This thesis will show
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Banerjee, S. "Conceptual structures in experience bases and analogical reasoning." Thesis, University of Bristol, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.279797.

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Brown, Kenneth N. "Conceptual geometric reasoning in artificial intelligence and engineering." Thesis, University of Bristol, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337201.

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Flanagan, Gregory M. "Conceptual Requirement Validation for Architecture Design Systems." DigitalCommons@CalPoly, 2011. https://digitalcommons.calpoly.edu/theses/653.

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Computer-aided architectural design (CAAD) programs represent architectural design at a low level of spatial abstraction. While this representation model allows CAAD programs to capture the precise spatial characteristics of a design, it means that CAAD programs lack the underlying computational apparatus necessary to reason about design at a conceptual level. This thesis is a first step towards building a framework that bridges the gap between the conceptual aspects of a design and its low level CAAD-based spatial representation. Spe
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Vinney, John Edward. "Function based techniques for assisting engineering conceptual design." Thesis, University of the West of England, Bristol, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387937.

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The basic concept of this work is that functional modelling techniques are applicable to and of practical use in, producing a qualitative model of conceptual engineering design. A qualitative function based model of conceptual design has been developed and a computer based implementation has been built and tested. The rationale behind the modelling scheme and the computer implementation are described in detail. In addition to a review of existing models of design the research provides a significant new capability in four main areas: • An ability to generate new concepts with a controlled degre
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Kahn, Sami. "A Conceptual Analysis of Perspective Taking in Support of Socioscientific Reasoning." Scholar Commons, 2015. https://scholarcommons.usf.edu/etd/5513.

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Scientific literacy is concerned with the informed citizens' ability to negotiate scientifically-related societal issues. The suite of skills necessary to negotiate these complex issues is referred to as Socioscientific Reasoning (SSR). SSR requires, among other things, perspective-taking abilities in order to consider the multi-faceted nature of these open-ended, debatable socioscientific issues (SSI). Developing interventions and instruments to foster and measure perspective taking in support of SSR is therefore critical to the promotion of functional scientific literacy through both researc
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Jensen, Jessica L. "Teachers' use of reasoning-based questions in procedural and conceptual lessons." Diss., University of Iowa, 2017. https://ir.uiowa.edu/etd/5522.

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Recent research shows that teachers’ level of Mathematical Knowledge for Teaching (MKT) and their beliefs about teaching and learning effect teaching practices and student achievement. Higher levels of MKT typically lead to more effective teaching abilities in terms of helping students make meaning of mathematical concepts, but beliefs seem to be a mediating factor in this relationship. One specific teaching practice that can help guide students through this meaning making is questioning. Although it is known that MKT and beliefs play an important role in outcomes of teacher practices, the eff
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Books on the topic "Conceptual reasoning"

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Corbett, Dan. Reasoning and unification over conceptual graphs. Kluwer Academic/Plenum Publishers, 2003.

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Corbett, Dan. Reasoning and Unification over Conceptual Graphs. Springer US, 2003.

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Corbett, Dan. Reasoning and Unification over Conceptual Graphs. Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0087-2.

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Eklund, Peter, and Ollivier Haemmerlé, eds. Conceptual Structures: Knowledge Visualization and Reasoning. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-70596-3.

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Vaidya, Anand. Logic & critical reasoning: Conceptual foundations and techniques of evaluation. Kendall Hunt, 2011.

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1962-, Eklund Peter W., Haemmerlé Ollivier, Siekmann Jörg H, and SpringerLink (Online service), eds. Conceptual Structures: Knowledge Visualization and Reasoning: 16th International Conference on Conceptual Structures, ICCS 2008 Toulouse, France, July 7-11, 2008 Proceedings. Springer-Verlag Berlin Heidelberg, 2008.

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Cao, Tru. Conceptual graphs and fuzzy logic: A fusion for representing and reasoning with linguistic information. Springer-Verlag Berlin Heidelberg, 2010.

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Wahl, Claes. The state of statistics: Conceptual change and statistical reasoning in the modern state, 1870-1940. Dept. of Political Science, University of Stockholm, 1996.

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Rute Elizabete de Souza Rosa Borba. The effect of number meanings, conceptual invariants and symbolic representations on children's reasoning about directed numbers. Oxford Brookes University, 2002.

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Wohlgenannt, Gerhard. Learning ontology relations by combining corpus-based techniques and reasoning on data from semantic web sources. P. Lang, 2011.

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Book chapters on the topic "Conceptual reasoning"

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Andreasen, Mogens Myrup, Claus Thorp Hansen, and Philip Cash. "Function Reasoning." In Conceptual Design. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19839-2_11.

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Andreasen, Mogens Myrup, Claus Thorp Hansen, and Philip Cash. "Property Reasoning." In Conceptual Design. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19839-2_12.

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Andreasen, Mogens Myrup, Claus Thorp Hansen, and Philip Cash. "Dispositional Reasoning." In Conceptual Design. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19839-2_13.

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Siena, Alberto, Silvia Ingolfo, Anna Perini, Angelo Susi, and John Mylopoulos. "Automated Reasoning for Regulatory Compliance." In Conceptual Modeling. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41924-9_5.

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Barwise, Jon. "Heterogeneous reasoning." In Conceptual Graphs for Knowledge Representation. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-56979-0_3.

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Liaskos, Sotirios, Shakil M. Khan, Mikhail Soutchanski, and John Mylopoulos. "Modeling and Reasoning with Decision-Theoretic Goals." In Conceptual Modeling. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41924-9_3.

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Priss, Uta. "A Semiotic-Conceptual Analysis of Conceptual Learning." In Graph-Based Representation and Reasoning. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40985-6_10.

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Giorgini, Paolo, John Mylopoulos, Eleonora Nicchiarelli, and Roberto Sebastiani. "Reasoning with Goal Models." In Conceptual Modeling — ER 2002. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45816-6_22.

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von Tetzchner, Stephen. "Conceptual Development and Reasoning." In Child and Adolescent Psychology. Routledge, 2018. http://dx.doi.org/10.4324/9781315742113-12.

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Thornton, Stephanie. "Reasoning and Conceptual Understanding." In Understanding Human Development. Macmillan Education UK, 2008. http://dx.doi.org/10.1007/978-1-137-29449-4_6.

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Conference papers on the topic "Conceptual reasoning"

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Calvanese, D., G. De Giacomo, M. Lenzerini, D. Nardi, and R. Rosati. "Information integration: conceptual modeling and reasoning support." In Proceedings 3rd IFCIS International Conference on Cooperative Information Systems (Cat No 98EX122) COOPIS-98. IEEE, 1998. http://dx.doi.org/10.1109/coopis.1998.706234.

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Rickard, John T., Janet Aisbett, and Greg Gibbon. "Knowledge Representation and Reasoning in Conceptual Spaces." In 2007 IEEE Symposium on Foundations of Computational Intelligence. IEEE, 2007. http://dx.doi.org/10.1109/foci.2007.371531.

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Xiaodong Wang and Shizhong Liao. "Constructing conceptual neighborhood for reasoning about motion." In 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccasm.2010.5622709.

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Combi, Carlo, Matteo Gozzi, Jose M. Juarez, Barbara Oliboni, and Giuseppe Pozzi. "Conceptual Modeling of Temporal Clinical Workflows." In 14th International Symposium on Temporal Representation and Reasoning (TIME'07). IEEE, 2007. http://dx.doi.org/10.1109/time.2007.45.

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Han, Jiaxin. "Conceptual Space and Reasoning Method of Intelligent System." In 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery. IEEE, 2009. http://dx.doi.org/10.1109/fskd.2009.212.

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Artale, A. "Reasoning on temporal conceptual schemas with dynamic constraints." In Proceedings. 11th International Symposium on Temporal Representation and Reasoning, 2004. TIME 2004. IEEE, 2004. http://dx.doi.org/10.1109/time.2004.1314423.

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Sun, J., D. K. Kalenchuk, D. Xue, and P. Gu. "Neural Network-Based Fuzzy Reasoning for Conceptual Design Evaluation." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/dac-8559.

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Abstract This paper presents a neural network-based fuzzy reasoning method for design candidate evaluation and identification to improve design quality and efficiency at the crucial conceptual design stage. The evaluation and identification of design candidates are carried out through the following four steps: (1) acquisition of customer needs and ranking of their importance, (2) establishment of measurable metrics and their relations with customer needs, (3) development of design specifications and initial evaluation of design candidates, and (4) evaluation and identification of design candid
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Orponen, P., P. Floreen, P. Myllymaki, and H. Tirri. "A neural implementation of conceptual hierarchies with Bayesian reasoning." In 1990 IJCNN International Joint Conference on Neural Networks. IEEE, 1990. http://dx.doi.org/10.1109/ijcnn.1990.137585.

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Kalathur, Suresh. "Defeasible reasoning with conceptual graphs (abstract and references only)." In the 19th annual conference. ACM Press, 1991. http://dx.doi.org/10.1145/327164.328832.

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Pyper, Brian A., N. Sanjay Rebello, Paula V. Engelhardt, and Chandralekha Singh. "Changing scientific reasoning and conceptual understanding in college students." In 2011 PHYSICS EDUCATION RESEARCH CONFERENCE. AIP, 2012. http://dx.doi.org/10.1063/1.3679994.

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