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Diagrams as Tools for Scientific Reasoning

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Abstract

We contend that diagrams are tools not only for communication but also for supporting the reasoning of biologists. In the mechanistic research that is characteristic of biology, diagrams delineate the phenomenon to be explained, display explanatory relations, and show the organized parts and operations of the mechanism proposed as responsible for the phenomenon. Both phenomenon diagrams and explanatory relations diagrams, employing graphs or other formats, facilitate applying visual processing to the detection of relevant patterns. Mechanism diagrams guide reasoning about how the parts and operations work together to produce the phenomenon and what experiments need to be done to improve on the existing account. We examine how these functions are served by diagrams in circadian rhythm research.

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Notes

  1. The importance of the visual presentation in a graph can be appreciated by considering the study that first established 37 °C (98.6 °F) as normal mean body temperature. Having collected multiple recordings per day from over 25,000 individuals, Wunderlich (1868) noted oscillations of over 1 ° C between a low in the early morning hours and a peak in the afternoon. But he reported these results using summary tables, in which oscillations could be discerned only via effortful, nonvisual processing; this likely was one reason that most subsequent researchers cited him only for establishing the “normal” human temperature, not its daily oscillations.

  2. Our frequent collaborator, Daniel Burnston, first called our attention to explanatory relations and has led our research group’s initial consideration of how explanatory relations diagrams figure in scientific practice. The specific construals and applications in this section are ours.

  3. At those times of day with the most molecular clock activity, arrowheads are stacked further into the circle as necessary to keep them distinct. The number of arrowheads per plot is not of interest; it simply indicates how many neurons in the slice fluoresced.

  4. Many diagrams of this type, with the addition of a curved line representing the nuclear membrane, incorporate the fact that per mRNA is transported across the membrane into the cytoplasm, where it is translated into PER, which then dimerizes with TIM. To initiate negative feedback, the dimer must be transported back into the nucleus. Together with other time-consuming operations, these achieve a 24-hour cycle.

References

  • Bechtel, W., and A. Abrahamsen. 2012a. Diagramming phenomena for mechanistic explanation. Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 102–107). Austin, TX: Cognitive Science Society.

  • Bechtel, W., and A. Abrahamsen. 2012b. Thinking dynamically about biological mechanisms: Networks of coupled oscillators. Foundations of Science 1–17.

  • Bechtel, W., and A. Abrahamsen. 2005. Explanation: A mechanist alternative. Studies in History and Philosophy of Biological and Biomedical Sciences 36: 421–441.

    Article  Google Scholar 

  • Bechtel, W., and A. Abrahamsen. 2010. Dynamic mechanistic explanation: Computational modeling of circadian rhythms as an exemplar for cognitive science. Studies in History and Philosophy of Science Part A 41: 321–333.

    Article  Google Scholar 

  • Bechtel, W., and R.C. Richardson. 1993/2010. Discovering complexity: Decomposition and localization as strategies in scientific research. Cambridge, MA: MIT Press. 1993 edition published by Princeton University Press.

  • Bechtel, W., D. Burnston, B. Sheredos, and A. Abrahamsen. 2014. Representing time in scientific diagrams. Proceeding of the 36th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.

  • Bogen, J., and J. Woodward. 1988. Saving the phenomena. Philosophical Review 97: 303–352.

    Article  Google Scholar 

  • Burnston, D.C. 2013. Mechanism diagrams as search organizers. Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 1952–1957). Austin, TX: Cognitive Science Society.

  • Burnston, D. C., B. Sheredos, A. Abrahamsen, and W. Bechtel. 2014. Scientists’ use of diagrams in developing mechanistic explanations: A case study from chronobiology. Pragmatics and Cognition.

  • Cheng, P.C.-H. 2002. Electrifying diagrams for learning: principles for complex representational systems. Cognitive Science 26: 685–736.

    Article  Google Scholar 

  • Cheng, P.C.-H. 2011. Probably good diagrams for learning: Representational epistemic recodification of probability theory. Topics in Cognitive Science 3: 475–498.

    Article  Google Scholar 

  • Cheng, P.C.-H., and H.A. Simon. 1995. Scientific discovery and creative reasoning with diagrams. In The creative cognition approach, ed. S.M. Smith, T.B. Ward, and R.A. Finke, 205–228. Cambridge: MIT Press.

    Google Scholar 

  • Ciarleglio, C.M., K.L. Gamble, J.C. Axley, B.R. Strauss, J.Y. Cohen, C.S. Colwell, and D.G. McMahon. 2009. Population encoding by circadian clock neurons organizes circadian behavior. Journal of Neuroscience 29: 1670–1676.

    Article  Google Scholar 

  • Craver, C.F. 2007. Explaining the brain: Mechanisms and the mosaic unity of neuroscience. New York: Oxford University Press.

    Book  Google Scholar 

  • Craver, C.F., and L. Darden. 2013. In search of mechanisms: Discoveries across the life sciences. Chicago: University of Chicago Press.

    Book  Google Scholar 

  • Giere, R.G. 2002. Scientific cognition as distributed cognition. In The cognitive bases of science, ed. P. Carruthers, S. Stich, and M. Siegal. Cambridge: Cambridge University Press.

    Google Scholar 

  • Glennan, S. 1996. Mechanisms and the nature of causation. Erkenntnis 44: 50–71.

    Article  Google Scholar 

  • Gooding, D.C. 2004. Cognition, construction and culture: Visual theories in the sciences. Journal of Cognition and Culture 4: 551–593.

    Article  Google Scholar 

  • Gooding, D.C. 2010. Visualizing scientific inference. Topics in Cognitive Science 2: 15–35.

    Article  Google Scholar 

  • Hardin, P.E., J.C. Hall, and M. Rosbash. 1990. Feedback of the Drosophila period gene product on circadian cycling of its messenger RNA levels. Nature 343: 536–540.

    Article  Google Scholar 

  • Harmer, S.L., S. Panda, and S.A. Kay. 2001. Molecular bases of circadian rhythms. Annual Review of Cell and Developmental Biology 17: 215–253.

    Article  Google Scholar 

  • Hegarty, M. 2011. The cognitive science of visual-spatial displays: Implications for design. Topics in Cognitive Science 3: 446–474.

    Article  Google Scholar 

  • Hegarty, M., and M.A. Just. 1993. Constructing mental models of machines from text and diagrams. Journal of Memory and Language 32: 717–742.

    Article  Google Scholar 

  • Hempel, C.G. 1965. Aspects of scientific explanation. In Aspects of scientific explanation and other essays in the philosophy of science, ed. C.G. Hempel, 331–496. New York: Macmillan.

    Google Scholar 

  • Konopka, R.J., and S. Benzer. 1971. Clock mutants of Drosophila melanogaster. Proceedings of the National Academy of Sciences of the United States of America 89: 2112–2116.

    Article  Google Scholar 

  • Koukkari, W., and Southern, R. N. 2006. Introducing biological rhythms. New York: Springer.

  • Larkin, J.H., and H.A. Simon. 1987. Why a diagram is (sometimes) worth ten thousand words. Cognitive Science 11: 65–99.

    Article  Google Scholar 

  • Lowrey, P.L., and J.S. Takahashi. 2004. Mammalian circadian biology: Elucidating genome-wide levels of temporal organization. Annual Review of Genomics and Human Genetics 5: 407–441.

    Article  Google Scholar 

  • Machamer, P., L. Darden, and C.F. Craver. 2000. Thinking about mechanisms. Philosophy of Science 67: 1–25.

    Article  Google Scholar 

  • Nagel, E. 1961. The structure of science. New York: Harcourt, Brace.

    Google Scholar 

  • Nersessian, N. 2008. Creating scientific concepts. Cambridge: MIT Press.

    Google Scholar 

  • Osbeck, L.M., N. Nersessian, K.R. Malone, and W.C. Newstetter. 2010. Science as psychology: Sense-making and identity in science practice. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Salmon, W.C. 1984. Scientific explanation and the causal structure of the world. Princeton: Princeton University Press.

    Google Scholar 

  • Takahashi, J.S., P.J. DeCoursey, L. Bauman, and M. Menaker. 1984. Spectral sensitivity of a novel photoreceptive system mediating entrainment of mammalian circadian rhythms. Nature 308: 186–188.

    Article  Google Scholar 

  • Tversky, B. 2011. Visualizing thought. Topics in Cognitive Science 3: 499–535.

    Article  Google Scholar 

  • Wunderlich, K.R.A. 1868. Das Verhalten der Eigenwärme in Krankheiten. Leipzig: Otto Wigard.

    Google Scholar 

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Acknowledgments

We gratefully acknowledge the support of National Science Foundation grant 1127640 and the numerous contributions of our collaborators Daniel Burnston and Benjamin Sheredos.

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Correspondence to William Bechtel.

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Abrahamsen, A., Bechtel, W. Diagrams as Tools for Scientific Reasoning. Rev.Phil.Psych. 6, 117–131 (2015). https://doi.org/10.1007/s13164-014-0215-2

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