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Cited by 549

The DOI matches its Crossref record; 121 of the 121 references it cites were found in a registry or an index.

Exploration versus exploitation in space, mind, and society

Open access
Hills, Thomas T., Todd, Peter M., Lazer, David, Redish, A. David, Couzin, Iain D.·2015·Trends in Cognitive Sciences

Abstract

Search is a ubiquitous property of life. Although diverse domains have worked on search problems largely in isolation, recent trends across disciplines indicate that the formal properties of these problems share similar structures and, often, similar solutions. Moreover, internal search (e.g., memory search) shows similar characteristics to external search (e.g., spatial foraging), including shared neural mechanisms consistent with a common evolutionary origin across species. Search problems and their solutions also scale from individuals to societies, underlying and constraining problem solving, memory, information search, and scientific and cultural innovation. In summary, search represents a core feature of cognition, with a vast influence on its evolution and processes across contexts and requiring input from multiple domains to understand its implications and scope.

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Crossref · 10.1016/j.tics.2014.10.004

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Metadata

Authors
Hills, T. T., Todd, P. M., Lazer, D., Redish, A. D., & Couzin, I. D.
Venue
Trends in Cognitive Sciences
Publisher
Elsevier BV
Published
2015-01
Volume
19
Issue
1
Pages
46-54
ISSN
1364-6613 (ISSN-L)
OpenAlex
W2019377098
Cited by
549
References
121
FWCI
2.09
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Exploration versus exploitation in space, mind, and society. https://app.cochat.ai/papers/10.1016/j.tics.2014.10.004
The paper
Hills, T. T., Todd, P. M., Lazer, D., Redish, A. D., & Couzin, I. D. (2015). Exploration versus exploitation in space, mind, and society. Trends in Cognitive Sciences. https://doi.org/10.1016/j.tics.2014.10.004

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.