A Diagrammatic Notation for Visualizing Epistemic Entities and Relations

Authors

  • Kye Palider Department of Philosophy, University of Toronto
  • Paul Patton IHPST, University of Toronto
  • Hakob Barseghyan Victoria College, University of Toronto
  • Julia Da Silva Department of English Language & Literatures, University of British Columbia
  • Torin Doppelt Independent Scholar
  • Nichole Levesley IHPST, University of Toronto
  • Jessica Rapson Munk School, University of Toronto
  • Ameer Sarwar Neuroscience, University of Oxford
  • Jamie Shaw IHPST, University of Toronto
  • Yifang Zhang Department of Computer Science, University of Toronto
  • Amna Zulfiqar Department of Medicine, University of Toronto

DOI:

https://doi.org/10.33137/js.v4i0.37904

Keywords:

diagrammatic notation, knowledge visualization, synchronic diagram, diachronic diagram, epistemic element, epistemic stance, epistemic agent, epistemic entity, epistemic relation

Abstract

This paper presents a diagrammatic notation for visualizing epistemic entities and relations. The notation was created during the Visualizing Worldviews project funded by the University of Toronto’s Jackman Humanities Institute and has been further developed by the scholars participating in the university’s Research Opportunity Program. Since any systematic diagrammatic notation should be based on a solid ontology of the respective domain, we first outline the current state of the scientonomic ontology. We then proceed to providing diagrammatic tools for visualizing the epistemic entities and relations of this ontology. These basic diagramming techniques allow us to construct diagrams of various types for both synchronic and diachronic visualizations. The paper concludes by highlighting some future research directions. As the notation presented here is de facto accepted and used in scientonomy, the paper suggests no modifications.

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References

Barseghyan, H. (2015). The Laws of Scientific Change. Springer.

Barseghyan, H. (2018). Redrafting the Ontology of Scientific Change. Scientonomy 2, pp. 13-38. Retrieved from https://scientojournal.com/index.php/scientonomy/article/view/31032.

Barseghyan, H. (2021). Diagramming Imprecise and Incomplete Temporal Information. In Basu et al. (Eds.) (2021).

Barseghyan, H. & Levesley, N. (2021). Question Dynamics. Scientonomy 4, pp. 1-19. Retrieved from https://scientojournal.com/index.php/scientonomy/article/view/37120.

Barseghyan, H.; Patton, P.; & Shaw, J. (Eds.) (forthcoming). Visualizing Worldviews: A Diagrammatic Notation for Belief Systems.

Basu, A.; Stapleton, G.; Linker, S.; Legg, C.; Manalo, E.; & Viana, P. (Eds.) (2021). Diagrammatic Representation and Inference. 12th International Conference, Diagrams 2021, Virtual, September 28–30, 2021, Proceedings. Springer.

Cumming, G.; Fidler, F.; & Vaux, D.L. (2007). Error Bars in Experimental Biology. The Journal of Cell Biology 177(1), pp. 7-11.

Fatigati, M. (2017). A Method for Reconstructing the Medieval Arabic Scientific Mosaic. Scientonomy 1, pp. 19-28. Retrieved from https://www.scientojournal.com/index.php/scientonomy/article/view/27761.

Fine, A. (2017). The Einstein-Podolsky-Rosen Argument in Quantum Theory. In Zalta, E. N. (Ed.) (2017). The Stanford Encyclopedia of Philosophy (Winter 2017 Edition). Retrieved from https://plato.stanford.edu/archives/win2017/entries/qt-epr/.

Fraser, P. & Sarwar, A. (2018). A Compatibility Law and the Classification of Theory Change. Scientonomy 2, 67-82. Retrieved from https://scientojournal.com/index.php/scientonomy/article/view/31278.

Gabbay, D.; Horty. J; Parent, X.; van der Meyden, R.; & van der Torre, L. (Eds.) (2013). Handbook of Deontic Logic and Normative Systems. College Publications.

Gilboa, O.; Slawnych, N.; & Palider, K. (forthcoming). Gender Differences and Biology. In Barseghyan, Patton, & Shaw (Eds.) (forthcoming).

Hilpinen, R. & McNamara, P. (2013). Deontic Logic: A Historical Survey and Introduction. In Gabbay et al. (Eds.) (2013), pp. 3-136.

Kaiser, D. (2005). Drawing Theories Apart: The Dispersion of Feynman Diagrams in Postwar Physics. University of Chicago Press.

Lambek, J. & Scott, P.J. (1986). Introduction to Higher Order Categorical Logic. Cambridge University Press.

Le Novère, N.; Hucka, M.; Mi, H.; Moodie, S.; Schreiber, F.; Sorokin, A.; Demir, E.; Wegner, K.; Aladjem, M. I.; Wimalaratne, S. M.; Bergman, FT.; Gauges, R.; Ghazal, P.; Kawaji, H.; Li, L.; Matsuoka, Y.; Villéger, A.; Boyd, S. E.; Calzone, L.; Courtot, M.; Dogrusoz, U.; Freeman, T. C.; Funahashi, A.; Ghosh, S.; Jouraku, A.; Kim, S.; Kolpakov, F.; Luna, A.; Sahle, S.; Schmidt, E.; Watterson, S.; Wu, G.; Goryanin, I.; Kell, D. B.; Sander, C.; Sauro, H.; Snoep, J. L.; Kohn, K.; & Kitano, H. (2009). The Systems Biology Graphical Notation. Nature Biotechnology 27 (8), pp. 735-741.

Levesley, N. & Barseghyan, H. (forthcoming). Diagramming Late-18th Century Chemistry. In Barseghyan, Patton, & Shaw (Eds.) (forthcoming).

Loiselle, M. (2017). Multiple Authority Delegation in Art Authentication. Scientonomy 1, pp. 41-53. Retrieved from https://www.scientojournal.com/index.php/scientonomy/article/view/28233.

Mercuri, M. & Barseghyan, H. (2019). Method Hierarchies in Clinical Epidemiology. Scientonomy 3, pp. 45-61. Retrieved from https://scientojournal.com/index.php/scientonomy/article/view/33559.

Overgaard, N. & Loiselle, M. (2016). Authority Delegation. Scientonomy 1, pp. 11-18. Retrieved from https://scientojournal.com/index.php/scientonomy/article/view/27065.

Overgaard, N. (2017). A Taxonomy for the Social Agents of Scientific Change. Scientonomy 1, pp. 55-62. Retrieved from https://scientojournal.com/index.php/scientonomy/article/view/28234.

Palider, K. (2019). Reasons in the Scientonomic Ontology. Scientonomy 3, pp. 15-31. Retrieved from https://scientojournal.com/index.php/scientonomy/article/view/33557.

Patton, P.; Overgaard, N.; & Barseghyan, H. (2017). Reformulating the Second Law. Scientonomy 1, pp. 29-39. Retrieved from https://www.scientojournal.com/index.php/scientonomy/article/view/27158.

Patton, P. (2019). Epistemic Tools and Epistemic Agents in Scientonomy. Scientonomy 3, pp. 63-89. Retrieved from https://scientojournal.com/index.php/scientonomy/article/view/33621.

Rapson, J. & Shaw, J. (forthcoming). Diagramming 20th Century Aryan Physics. In Barseghyan, Patton, & Shaw (Eds.) (forthcoming).

Rawleigh, W. (2018). The Status of Questions in the Ontology of Scientific Change. Scientonomy 2, pp. 1-12. Retrieved from https://scientojournal.com/index.php/scientonomy/article/view/29651.

Sarkar, A.; Blackwell, A. F.; Jamnik, M.; & Spott, M. (2015). Interaction with Uncertainty in Visualisations. Eurographics Conference on Visualization (EuroVis) 2015, 133-137.

Sarwar, A. & Patton, P. (forthcoming). Diagramming 19th Century Studies of Localization of Function in the Cerebral Cortex. In Barseghyan, Patton, & Shaw (Eds.) (forthcoming).

Seidl, M.; Brandsteidl, M.; Huemer, C.; & Kappel. G. (2012). UML @ Classroom. Springer.

Venn, J. (1880). On the Diagrammatic and Mechanical Representation of Propositions and Reasonings. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science 9, pp. 1-18.

Zulfiqar, A. & Patton, P. (forthcoming). Medieval Islamic Medicine. In Barseghyan, Patton, & Shaw (Eds.) (forthcoming).

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Published

2021-12-24

How to Cite

Palider, K., Patton, P., Barseghyan, H., Da Silva, J., Doppelt, T., Levesley, N., … Zulfiqar, A. (2021). A Diagrammatic Notation for Visualizing Epistemic Entities and Relations. Scientonomy: Journal for the Science of Science, 4, 87–139. https://doi.org/10.33137/js.v4i0.37904

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Articles