ArticleCurrent opinion in behavioral sciences2020
The growth and form of knowledge networks by kinesthetic curiosity.
Article in Current opinion in behavioral sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Compressive learning scaffolds higher-order network structure to enhance human knowledge acquisition.Nature communications · 2026Article
- Validation of the I- and D-type epistemic curiosity scale among young Chinese children and implications on early curiosity nurture.BMC psychology · 2024Article
- Systematic Curiosity as an Integrative Tool for Human Flourishing: A Conceptual Review and Framework.Integrative psychological & behavioral science · 2024Review
- Architectural styles of curiosity in global Wikipedia mobile app readership.Science advances · 2024Article
- Boredom and curiosity: the hunger and the appetite for information.Frontiers in psychology · 2024Review
- An energizing role for motivation in information-seeking during the early phase of the COVID-19 pandemic.Nature communications · 2022Article
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Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Throughout life, we might seek a calling, companions, skills, entertainment, truth, self-knowledge, beauty, and edification. The practice of curiosity can be viewed as an extended and open-ended search for valuable information with hidden identity and location in a complex space of interconnected information. Despite its importance, curiosity has been challenging to computationally model because the practice of curiosity often flourishes without specific goals, external reward, or immediate feedback. Here, we show how network science, statistical physics, and philosophy can be integrated into an approach that coheres with and expands the psychological taxonomies of specific-diversive and perceptual-epistemic curiosity. Using this interdisciplinary approach, we distill functional modes of curious information seeking as searching movements in information space. The kinesthetic model of curiosity offers a vibrant counterpart to the deliberative predictions of model-based reinforcement learning. In doing so, this model unearths new computational opportunities for identifying what makes curiosity curious.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.