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An Innovative Approach to Diagrams Representation: The Marlo Diagrams Web Page

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Diagrammatic Representation and Inference (Diagrams 2024)

Abstract

In this work we present a web version of Marlo diagrams, which are an innovative way to visualize basic principles of logical reasoning, returning to the tradition of the Quantification of the Predicate. The page contains concise instructions, multiple examples of classical reasoning, and more than one hundred proposed exercises. Thus, it is a teaching resource that can be executed on computers, mobile phones, and tablets as an ICT tool for the development of critical thinking. We present the essential definitions of Marlo diagrams and their operations and provide JavaScript code examples to illustrate their implementation. We also present the line of research that we are currently working on to expand the scope of Marlo diagrams by adding disjunctions to their regions.

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References

  1. Aznar, M.B.L., Acosta, G.C., Gadea, W.F.: Significance in Marlo diagrams versus thoroughness of venn diagrams. In: Arai, K. (ed.) SAI 2022. LNNS, vol. 506, pp. 207–227. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-10461-9_14

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  2. Boole, G.: An Investigation of the Laws of Thought. Dover, New York (1854)

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  3. Mays, W., Henry, D.P.: Jevons and logic. Mind 62, 484–505 (1953)

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  4. Soler-Toscano, F., Aznar, M.B.L.: fersoler/MarloDiagrams (2022). https://fersoler.github.io/MarloDiagrams/. Accessed 31 Jan 2024

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Correspondence to Fernando Soler Toscano .

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Toscano, F.S., Aznar, M.B.L. (2024). An Innovative Approach to Diagrams Representation: The Marlo Diagrams Web Page. In: Lemanski, J., Johansen, M.W., Manalo, E., Viana, P., Bhattacharjee, R., Burns, R. (eds) Diagrammatic Representation and Inference. Diagrams 2024. Lecture Notes in Computer Science(), vol 14981. Springer, Cham. https://doi.org/10.1007/978-3-031-71291-3_36

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  • DOI: https://doi.org/10.1007/978-3-031-71291-3_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-71290-6

  • Online ISBN: 978-3-031-71291-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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