Literature DB >> 27939837

Exploration and exploitation of Victorian science in Darwin's reading notebooks.

Jaimie Murdock1, Colin Allen2, Simon DeDeo3.   

Abstract

Search in an environment with an uncertain distribution of resources involves a trade-off between exploitation of past discoveries and further exploration. This extends to information foraging, where a knowledge-seeker shifts between reading in depth and studying new domains. To study this decision-making process, we examine the reading choices made by one of the most celebrated scientists of the modern era: Charles Darwin. From the full-text of books listed in his chronologically-organized reading journals, we generate topic models to quantify his local (text-to-text) and global (text-to-past) reading decisions using Kullback-Liebler Divergence, a cognitively-validated, information-theoretic measure of relative surprise. Rather than a pattern of surprise-minimization, corresponding to a pure exploitation strategy, Darwin's behavior shifts from early exploitation to later exploration, seeking unusually high levels of cognitive surprise relative to previous eras. These shifts, detected by an unsupervised Bayesian model, correlate with major intellectual epochs of his career as identified both by qualitative scholarship and Darwin's own self-commentary. Our methods allow us to compare his consumption of texts with their publication order. We find Darwin's consumption more exploratory than the culture's production, suggesting that underneath gradual societal changes are the explorations of individual synthesis and discovery. Our quantitative methods advance the study of cognitive search through a framework for testing interactions between individual and collective behavior and between short- and long-term consumption choices. This novel application of topic modeling to characterize individual reading complements widespread studies of collective scientific behavior.
Copyright © 2016 Elsevier B.V. All rights reserved.

Keywords:  Cognitive search; Exploration-exploitation; History of science; Information foraging; Scientific discovery; Topic modeling

Mesh:

Year:  2016        PMID: 27939837     DOI: 10.1016/j.cognition.2016.11.012

Source DB:  PubMed          Journal:  Cognition        ISSN: 0010-0277


  6 in total

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2.  Multi-level computational methods for interdisciplinary research in the HathiTrust Digital Library.

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3.  Individuals, institutions, and innovation in the debates of the French Revolution.

Authors:  Alexander T J Barron; Jenny Huang; Rebecca L Spang; Simon DeDeo
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4.  Latent topics resonance in scientific literature and commentaries: evidences from natural language processing approach.

Authors:  Tai Wang; Zongkui Zhou; Xiangen Hu; Zhi Liu; Yi Ding; Zhiqiang Cai
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Review 5.  How We Do Things With Words: Analyzing Text as Social and Cultural Data.

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6.  Quantifying collective identity online from self-defining hashtags.

Authors:  Alexander T J Barron; Johan Bollen
Journal:  Sci Rep       Date:  2022-09-03       Impact factor: 4.996

  6 in total

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