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Chapter 12 - Edgework

Viewing Curiosity as Fundamentally Relational

from Part III - Which Machinery Supports the Drive for Knowledge?

Published online by Cambridge University Press:  19 May 2022

Irene Cogliati Dezza
Affiliation:
University College London
Eric Schulz
Affiliation:
Max-Planck-Institut für biologische Kybernetik, Tübingen
Charley M. Wu
Affiliation:
Eberhard-Karls-Universität Tübingen, Germany
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Summary

Most theories of curiosity emphasize the acquisition of information. Yet, recent advances from philosophy and cognitive science suggest that it may be time to complement the acquisitional theory of curiosity with a connectional theory of curiosity. This alternative perspective focuses on the actions of the knower in seeking relations among informational units, laying down lines of intersection, and thereby building a scaffold or network of knowledge. Intuitively, curiosity becomes edgework. In this chapter, we dwell on the notion of edgework, wrestle with its relation to prior accounts, and exercise its unique features to craft alternative reasons for curiosity’s value to humanity. In doing so, we find that the notion of edgework offers a fresh, flexible, and explanatory account of curiosity. More broadly, it uncovers new opportunities to use the lens of science to examine, probe, and interrogate this important dimension of the human experience.

Type
Chapter
Information
The Drive for Knowledge
The Science of Human Information Seeking
, pp. 259 - 278
Publisher: Cambridge University Press
Print publication year: 2022

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References

Ahmed, S. (2012). On being included: Racism and diversity in institutional life. Duke University Press.Google Scholar
Ahmed, S. (2017). Living a feminist life. Duke University Press.Google Scholar
Ahmed, S. (2019). What’s the use. Duke University Press.Google Scholar
Aquinas, T. (1981). Summa theologica (p. Question 167). Christian Classics.Google Scholar
Augustine, S. (1961). Confessions, trans. W. Watts. London, 1631.Google Scholar
Bassett, D. S. (2020). A network science of the practice of curiosity. In Zurn, P. & Shankar, A. (Eds.), Curiosity studies: A new ecology of knowledge (pp. 5774). Minnesota Press.Google Scholar
Bassett, D. S., Zurn, P., & Gold, J. I. (2018). On the nature and use of models in network neuroscience. Nature Reviews Neuroscience, 19(9), 566578.CrossRefGoogle ScholarPubMed
Begus, K., & Southgate, V. (2018). Curious learners: How infants’ motivation to learn shapes and is shaped by infants’ interactions with the social world. In Active learning from infancy to childhood (pp. 1337). Springer.Google Scholar
Benedict, B. (2003). Curiosity: A cultural history of early modern inquiry. University of Chicago Press.Google Scholar
Berlyne, D. E. (1960). Conflict, arousal, and curiosity. McGraw-Hill.CrossRefGoogle Scholar
Bertolero, M. A., Dworkin, J. D., David, S. U., Lloreda, C. L., Srivastava, P., Stiso, J., Zhou, D., … Bassett, D. S. (2020). Racial and ethnic imbalance in neuroscience reference lists and intersections with gender. bioRxiv, 10.12.336230. https://doi.org/10.1101/2020.10.12.336230.CrossRefGoogle Scholar
Birhane, A. (2021). The impossibility of automating ambiguity. Artificial Life, 27(1), 4461.Google Scholar
Caplar, N., Tacchella, S., & Birrer, S. (2017). Quantitative evaluation of gender bias in astronomical publications from citation counts. Nature Astronomy, 1(6), 0141. https://doi.org/10.1038/s41550-017-0141.Google Scholar
Christianson, N. H., Blevins, A. S., & Bassett, D. S. (2020). Architecture and evolution of semantic networks in mathematics texts. Philosophical Transactions of the Royal Society, A, 476(2239), 20190741.Google ScholarPubMed
Chu, J., & Schulz, L. E. (2020). Play, curiosity, and cognition. Annual Review of Developmental Psychology, 2, 317343.Google Scholar
Cofer, C. N., & Appley, M. H. (1964). Motivation: Theory and research. Wiley.Google Scholar
Cohen, J. D., McClure, S. M., & Yu, A. J. (2007). Should I stay or should I go? How the human brain manages the trade-off between exploitation and exploration. Philosophical Transactions of the Royal Society B: Biological Sciences, 362(1481), 933942.CrossRefGoogle ScholarPubMed
Constantinescu, A. O., OReilly, J. X., & Behrens, T. E. J. (2016). Organizing conceptual knowledge in humans with a gridlike code. Science, 352(6292), 14641468. https://doi.org/10.1126/science.aaf0941.Google Scholar
Crawford, K., Gray, M. L., & Miltner, K. M. (2014). Big data. Critiquing big data: Politics, ethics, epistemology. Special Section Introduction. International Journal of Communication, 8(10).Google Scholar
Descartes, R. (1649). Passions of the soul. In Cottingham, J. (Ed.), The philosophical writings of Rene Descartes (p. sec. 88). Cambridge University Press, 1985.Google Scholar
Dewey, J. (1916/2011). Democracy and education. Simon and Brown.Google Scholar
Dewey, J. (1910/1933). How we think. D. C. Heath & Company.Google Scholar
Diener, E., & Diener, C. (1996). Most people are happy. Psychological Science, 7(3), 181185.Google Scholar
Dion, M. L., Sumner, J. L., & Mitchell, S. M. (2018). Gendered citation patterns across political science and social science methodology fields. Political Analysis, 26(3), 312327. https://doi.org/10.1017/pan.2018.12.Google Scholar
Dworkin, J. D., Linn, K. A., Teich, E. G., Zurn, P., Shinohara, R. T., & Bassett, D. S. (2020). The extent and drivers of gender imbalance in neuroscience reference lists. Nature Neuroscience, 23, 918926.Google Scholar
Dworkin, J., Zurn, P., & Bassett, D. S. (2020). (In)citing action to realize an equitable future. Neuron, 106(6), 890894.Google Scholar
Enloe, C. (2004). The Curious Feminist. University of California Press.CrossRefGoogle Scholar
Fredrickson, B. L. (2004). The broaden–and–build theory of positive emotions. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 359(1449), 13671377.CrossRefGoogle ScholarPubMed
Fredrickson, B. L., & Branigan, C. (2005). Positive emotions broaden the scope of attention and thought-action repertoires. Cognition & Emotion, 19(3), 313332.CrossRefGoogle ScholarPubMed
Fricker, M. (2009). Epistemic injustice: Power and the ethics of knowing. Oxford University Press.Google Scholar
Garrosa, E., Blanco-Donoso, L. M., Carmona-Cobo, I., & Moreno-Jiménez, B. (2017). How do curiosity, meaning in life, and search for meaning predict college students’ daily emotional exhaustion and engagement? Journal of Happiness Studies, 18(1), 1740.Google Scholar
Garvert, M. M., Dolan, R. J., & Behrens, T. E. (2017). A map of abstract relational knowledge in the human hippocampal–entorhinal cortex. Elife, 6, e17086.Google Scholar
George, M. J., Russell, M. A., Piontak, J. R., & Odgers, C. L. (2018). Concurrent and subsequent associations between daily digital technology use and high‐risk adolescents’ mental health symptoms. Child Development, 89(1), 7888.Google Scholar
Gershman, S. J., & Niv, Y. (2015). Novelty and inductive generalization in human reinforcement learning. Topics in Cognitive Science, 7(3), 391415. https://doi.org/10.1111/tops.12138.Google Scholar
Gopnik, A. (2020). Childhood as a solution to explore–exploit tensions. Philosophical Transactions of the Royal Society B, 375(1803), 20190502.Google Scholar
Gottlieb, J. (2012). Attention, learning, and the value of information. Neuron, 76(2), 281295.Google Scholar
Gottlieb, J., & Oudeyer, P.-Y. (2018). Towards a neuroscience of active sampling and curiosity. Nature Reviews Neuroscience, 19(12), 758770.CrossRefGoogle ScholarPubMed
Gottlieb, J., Hayhoe, M., Hikosaka, O., & Rangel, A. (2014). Attention, reward, and information seeking. Journal of Neuroscience, 34(46), 1549715504.Google Scholar
Gray, M. L., Suri, S., Ali, S. S., & Kulkarni, D. (2016, February). The crowd is a collaborative network. In Proceedings of the 19th ACM conference on computer-supported cooperative work & social computing (pp. 134147).Google Scholar
Gruber, M. J., Gelman, B. D., & Ranganath, C. (2014). States of curiosity modulate hippocampus-dependent learning via the dopaminergic circuit. Neuron, 84(2), 486496.Google Scholar
Gruber, M. J., Valji, A., & Ranganath, C. (2019). Curiosity and learning: A neuroscientific perspective. In Renniger, K. & Hidi, S. E. (Eds.), The Cambridge handbook of motivation and learning (pp. 397417). Cambridge University Press.CrossRefGoogle Scholar
Hidi, S. E., & Renninger, K. A. (2019). Interest development and its relation to curiosity: needed neuroscientific research. Educational Psychology Review, 31(4), 833852.Google Scholar
Huntenburg, J. M., Bazin, P.-L., & Margulies, D. S. (2018). Large-scale gradients in human cortical organization. Trends in Cognitive Sciences, 22(1), 2131.Google Scholar
Inan, I. (2011). The philosophy of curiosity. Routledge.Google Scholar
James, W. (1925). Talks to teachers on psychology: And to students on some of life’s ideals. Henry Holt Company.Google Scholar
James, W. (1890; 1918). The principles of psychology, vol. 2. Dover Publications.Google Scholar
Ju, H., & Bassett, D. S. (2020). Dynamic representations in networked neural systems. Nature Neuroscience, 23(8), 908917.CrossRefGoogle ScholarPubMed
Ju, H., Zhou, D., Blevins, A. S., Lydon-Staley, D. M., Kaplan, J., Tuma, J. R., & Bassett, D. S. (2020). The network structure of scientific revolutions. arXiv Preprint arXiv:2010.08381.Google Scholar
Kahn, A. E., Karuza, E. A., Vettel, J. M., & Bassett, D. S. (2018). Network constraints on learnability of probabilistic motor sequences. Nature Human Behaviour, 2(12), 936947.Google Scholar
Kang, M. J., Hsu, M., Krajbich, I. M., Loewenstein, G., McClure, S. M., Wang, J. T.-y., & Camerer, C. F. (2009). The wick in the candle of learning: Epistemic curiosity activates reward circuitry and enhances memory. Psychological Science, 20(8), 963973.Google Scholar
Karuza, E. A., Kahn, A. E., & Bassett, D. S. (2019). Human sensitivity to community structure is robust to topological variation. Complexity, 2019 (8379321).CrossRefGoogle Scholar
Karuza, E. A., Kahn, A. E., Thompson-Schill, S. L., & Bassett, D. S. (2017). Process reveals structure: How a network is traversed mediates expectations about its architecture. Scientific Reports, 7(1), 19.Google Scholar
Karuza, E. A., Thompson-Schill, S. L., & Bassett, D. S. (2016). Local patterns to global architectures: Influences of network topology on human learning. Trends in Cognitive Sciences, 20(8), 629640.CrossRefGoogle ScholarPubMed
Kashdan, T. B., & Steger, M. F. (2007). Curiosity and pathways to well-being and meaning in life: Traits, states, and everyday behaviors. Motivation and emotion, 31(3), 159173.Google Scholar
Kashdan, T. B., Gallagher, M. W., Silvia, P. J., Winterstein, B. P., Breen, W. E., Terhar, D., & Steger, M. F. (2009). The curiosity and exploration inventory-ii: Development, factor structure, and psychometrics. Journal of Research in Personality, 43(6), 987998.Google Scholar
Kashdan, T. B., Stiksma, M. C., Disabato, D. J., McKnight, P. E., Bekier, J., Kaji, J., & Lazarus, R. (2018). The five-dimensional curiosity scale: Capturing the bandwidth of curiosity and identifying four unique subgroups of curious people. Journal of Research in Personality, 73, 130149.Google Scholar
Kemp, C., & Tenenbaum, J. B. (2008). The discovery of structural form. Proceedings of the National Academy of Sciences, 105(31), 1068710692.Google Scholar
Kidd, C., & Hayden, B. Y. (2015). The psychology and neuroscience of curiosity. Neuron, 88(3), 449460.Google Scholar
Kim, J. Z., Lu, Z., & Bassett, D. S. (2019a). Design of large sequential conformational change in mechanical networks. arXiv, 1906, 08400.Google Scholar
Kim, J. Z., Lu, Z., Strogatz, S. H., & Bassett, D. S. (2019b). Conformational control of mechanical networks. Nature Physics, 15, 714720.CrossRefGoogle Scholar
Larson, R., & Csikszentmihalyi, M. (2014). The experience sampling method. In Flow and the foundations of positive psychology (pp. 2134). Springer. https://link.springer.com/book/10.1007/978-94-017-9088-8.Google Scholar
León, C. (2020). Curious entanglements: Opacity and ethical relation in Latina/or aesthetics. In Zurn, P. and Shankar, A. (Ed.), Curiosity studies: A new ecology of knowledge (pp. 167187). University of Minnesota Press.CrossRefGoogle Scholar
Litman, J. A. (2008). Interest and deprivation factors of epistemic curiosity. Personality and Individual Differences, 44(7), 15851595.Google Scholar
Litman, J. A., & Jimerson, T. L. (2004). The measurement of curiosity as a feeling of deprivation. Journal of Personality Assessment, 82(2), 147157.CrossRefGoogle ScholarPubMed
Loewenstein, G. (1994). The psychology of curiosity: A review and reinterpretation. Psychological Bulletin, 116(1), 75.Google Scholar
Lydon-Staley, D. M., Barnett, I., Satterthwaite, T. D., & Bassett, D. S. (2019a). Digital phenotyping for psychiatry: Accommodating data and theory with network science methodologies. Current Opinion in Biomedical Engineering, 9, 813.Google Scholar
Lydon-Staley, D. M., Falk, E. B., & Bassett, D. S. (2019b). Within-person variability in sensation-seeking during daily life: Positive associations with alcohol use and self-defined risky behaviors. Psychology of Addictive Behaviors, 34(2), 257268.Google Scholar
Lydon-Staley, D. M., Zhou, D., Blevins, A. S., Zurn, P., & Bassett, D. S. (2019c). Hunters, busybodies, and the knowledge network building associated with curiosity. Nature Human Behavior, 6(3), 327336.Google Scholar
Lydon-Staley, D. M., Zurn, P., & Bassett, D. S. (2019d). Within-person variability in curiosity during daily life and associations with well-being. Journal of Personality, 88(4), 625641.Google Scholar
Lynn, C. W., & Bassett, D. S. (2020). How humans learn and represent networks. Proceedings of the National Academy of Sciences of the United States of America, 117(47), 2940729415.Google Scholar
Lynn, C. W., & Bassett, D. S. (2021). Quantifying the compressibility of complex networks. Proceedings of the National Academy of Sciences 118(32): e2023473118. https://doi.org/10.1073/pnas.2023473118.Google Scholar
Lynn, C. W., Kahn, A. E., & Bassett, D. S. (2020). Abstract representations of events arise from mental errors in learning and memory. Nature Communications, 11(1), 2313.Google Scholar
Lynn, C. W., Papadopoulos, L., Kahn, A. E., & Bassett, D. S. (2020). Human information processing in complex networks. Nature Physics, 16, 965973. https://doi.org/10.1038/s41567-020-0924-7.Google Scholar
Maliniak, D., Powers, R., & Walter, B. F. (2013). The gender citation gap in international relations. International Organization, 67(4), 889922. https://doi.org/10.1017/S0020818313000209.Google Scholar
Margulies, D. S., Ghosh, S. S., Goulas, A., Falkiewicz, M., Huntenburg, J. M., Langs, G., Bezgin, G., … et al. (2016). Situating the default-mode network along a principal gradient of macroscale cortical organization. Proceedings of the National Academy of Sciences, 113(44), 1257412579.Google Scholar
Mitchell, S. M., Lange, S., & Brus, H. (2013). Gendered citation patterns in international relations journals. International Studies Perspectives, 14(4), 485492. https://doi.org/10.1111/insp.12026.Google Scholar
Mott, C., & Cockayne, D. (2017). Citation matters: Mobilizing the politics of citation toward a practice of “conscientious engagement.Gender, Place and Culture, 24(7), 954973.Google Scholar
Nietzsche, F. W. (1886/1989). Beyond good and evil. Random House.Google Scholar
Ocko, S. A., Hardcastle, K., Giocomo, L. M., & Ganguli, S. (2018). Emergent elasticity in the neural code for space. Proceedings of the National Academy of Sciences, 115(50), E11798E11806.Google Scholar
Onnela, J.-P., Saramäki, J., Kertész, J., & Kaski, K. (2005). Intensity and coherence of motifs in weighted complex networks. Physical Review E, 71(6), 065103.Google Scholar
Oudeyer, P.-Y. (2018). Computational theories of curiosity-driven learning. In Gordon, G. (Ed.), The new science of curiosity (pp. 4372). Nova Science Publishers.Google Scholar
Oudeyer, P.-Y., Gottlieb, J., & Lopes, M. (2016). Intrinsic motivation, curiosity, and learning: Theory and applications in educational technologies. In Progress in brain research (Vol. 229, pp. 257284). Elsevier.Google Scholar
Pekrun, R. (2019). The murky distinction between curiosity and interest: State of the art and future prospects. Educational Psychology Review, 31(4), 905914.Google Scholar
Plutarch, . (2005). On being a busybody. In Moralia VI (pp. 473517). Harvard University Press.Google Scholar
Reeves, B., Ram, N., Robinson, T. N., Cummings, J. J., Giles, C. L., Pan, J., Chiatti, A., … & others. (2019). Screenomics: A framework to capture and analyze personal life experiences and the ways that technology shapes them. Human–Computer Interaction, 152.Google Scholar
Reio, T. G., & Callahan, J. L. (2004). Affect, curiosity, and socialization-related learning: A path analysis of antecedents to job performance. Journal of Business and Psychology, 19(1), 322.CrossRefGoogle Scholar
Rodrigue, J. R., Olson, K. R., & Markley, R. P. (1987). Induced mood and curiosity. Cognitive Therapy and Research, 11(1), 101106.Google Scholar
Rossiter, M. W. (1993). The Matthew/Matilda Effect in science. Social Studies of Science, 23(2), 325341.Google Scholar
Rousseau, J.-J. (1762; 1909). Emile. Appleton & Company.Google Scholar
Schapiro, A. C., Rogers, T. T., Cordova, N. I., Turk-Browne, N. B., & Botvinick, M. M. (2013). Neural representations of events arise from temporal community structure. Nature Neuroscience, 16(4), 486492.Google Scholar
Schapiro, A. C., Turk-Browne, N. B., Botvinick, M. M., & Norman, K. A. (2017). Complementary learning systems within the hippocampus: A neural network modelling approach to reconciling episodic memory with statistical learning. Philosophical Transactions of the Royal Society B: Biological Sciences, 372(1711), 20160049.Google Scholar
Schmidhuber, J. (2008). Driven by compression progress: A simple principle explains essential aspects of subjective beauty, novelty, surprise, interestingness, attention, curiosity, creativity, art, science, music, jokes. Workshop on Anticipatory Behavior in Adaptive Learning Systems, 4876. https://link.springer.com/chapter/10.1007/978-3-642-02565-5_4.Google Scholar
Scholtes, I. (2017). When is a network a network? Multi-order graphical model selection in pathways and temporal networks. Proceedings of the 23rd ACM Sigkdd International Conference on Knowledge Discovery and Data Mining, 10371046. https://dl.acm.org/doi/10.1145/3097983.3098145.Google Scholar
Sizemore, A. E., Karuza, E. A., Giusti, C., & Bassett, D. S. (2018). Knowledge gaps in the early growth of semantic networks. Nature Human Behavior, 2(9), 682692.Google Scholar
Stachenfeld, K. L., Botvinick, M. M., & Gershman, S. J. (2017). The hippocampus as a predictive map. Nature Neuroscience, 20(11), 1643.Google Scholar
Suárez, L. E., Markello, R. D., Betzel, R. F., & Misic, B. (2020). Linking structure and function in macroscale brain networks. Trends in Cognitive Sciences, 24(4), 302315.Google Scholar
Swanson, H. (2020). Curious ecologies of knowledge: More-than-human anthropology. In Zurn, P. and Shankar, A. (Eds.), Curiosity studies: A new ecology of knowledge (pp. 1536). University of Minnesota Press.Google Scholar
Tompson, S. H., Falk, E. B., O’Donnell, M. B., Cascio, C. N., Bayer, J. B., Vettel, J. M., & Bassett, D. S. (2020). Response inhibition in adolescents is moderated by brain connectivity and social network structure. Social Cognitive and Affective Neuroscience, 15(8), 827837.Google Scholar
Vives, J. L. (1531; 1913). On education. Cambridge University Press.Google Scholar
Watson, L. (2018). Curiosity and inquisitiveness. In Battaly, H. (Ed.), The Routledge handbook of virtue epistemology (pp. 155166). Routledge.Google Scholar
West, R., & Leskovec, J. (2012). Human wayfinding in information networks. Proceedings of the 21st International Conference on World Wide Web, 619628. https://dl.acm.org/doi/10.1145/2187836.2187920.Google Scholar
Yonge, C. D., & Philo, . (1854). The works of Philo Judaeus, the contemporary of Josephus (Vol. 1). Bohn.Google Scholar
Zhou, D., Cornblath, E. J., Stiso, J., Teich, E. G., Dworkin, J. D., Blevins, A. S., & Bassett, D. S. (2020a). Gender diversity statement and code notebook v1.0. https://doi.org/10.5281/zenodo.3672110.Google Scholar
Zhou, D., Lydon-Staley, D. M., Zurn, P., & Bassett, D. S. (2020b). The growth and form of knowledge networks by kinesthetic curiosity. Current Opinion in Behavirioral Sciences, 35, 125134. https://doi.org/10.1016/j.cobeha.2020.09.007.Google Scholar
Zhou, D., Lynn, C. W., Cui, Z., Ciric, R., Baum, G. L., Moore, T. M., Roalf, D. R., … & others. (2020c). Efficient coding in the economics of human brain connectomics. Network Neuroscience.Google Scholar
Zuckerman, M. (1994). Behavioral expressions and biosocial bases of sensation seeking. Cambridge University Press.Google Scholar
Zurn, P. (2019). Busybody, hunter, and dancer: Three historical models of curiosity. In Papastephanou, M. (Ed.), Toward new philosophical explorations of the epistemic desire to know: Just curious about curiosity (pp. 2649). Cambridge Scholars Press.Google Scholar
Zurn, P. (2021). Curiosity and power: The politics of inquiry. University of Minnesota Press.Google Scholar
Zurn, P., & Bassett, D. S. (2018). On curiosity: A fundamental aspect of personality, a practice of network growth. Personality Neuroscience, 1.Google Scholar
Zurn, P., & Bassett, D. S. (2020). Network architectures supporting learnability. Philosophical Transactions of the Royal Society B, 375(1796), 20190323.CrossRefGoogle ScholarPubMed
Zurn, P. & Bassett, D. S., (2022). Curious minds: The power of connection. MIT Press.CrossRefGoogle Scholar
Zurn, P., Bassett, D. S., & Rust, N. C. (2020). The citation diversity statement: A practice of transparency, a way of life. Trends in Cognitive Science, 24(9), 669672.Google Scholar

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