Natural search algorithms as a bridge between organisms, evolution, and ecology
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9413.full.pdf
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Author(s)
Hein, Andrew M.
Levin, Simon A.
Carrara, Francesco
Brumley, Douglas Richard
Stocker, Roman
Date Issued
August 2016
Journal
Proceedings of the National Academy of Sciences
Publisher
National Academy of Sciences (U.S.)
Citation
Hein, Andrew M. et al. “Natural Search Algorithms as a Bridge Between Organisms, Evolution, and Ecology.” Proceedings of the National Academy of Sciences 113, 34 (August 2016): 9413–9420 © 2016 National Academy of Sciences
Version
Final published version
Abstract
The ability to navigate is a hallmark of living systems, from single cells to higher animals. Searching for targets, such as food or mates in particular, is one of the fundamental navigational tasks many organisms must execute to survive and reprod uce. Here, we argue that a recent surge of studies of the proximate mechanisms that underlie search behavior offers a new opportunity to integrate the biophysics and neuroscience of sensory systems with ecological and evolutionary processes, closing a feedback loop that promises exciting new avenues of scientific exploration at the frontier of systems biology. Keywords: sensing; navigation; evolutionary strategy; encounter rates; exploration–exploitation
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Parsons Laboratory for Environmental Science and Engineering (Massachusetts Institute of Technology)
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1073/PNAS.1606195113
