Natural search algorithms as a bridge between organisms, evolution, and ecology
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...
| Main Authors: | , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Published: |
National Academy of Sciences (U.S.)
2018
|
| Online Access: | http://hdl.handle.net/1721.1/114891 https://orcid.org/0000-0003-2827-5615 https://orcid.org/0000-0003-0587-0251 https://orcid.org/0000-0002-3199-0508 |
| _version_ | 1826208429141655552 |
|---|---|
| author | Hein, Andrew M. Levin, Simon A. Carrara, Francesco Brumley, Douglas Richard Stocker, Roman |
| author2 | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Hein, Andrew M. Levin, Simon A. Carrara, Francesco Brumley, Douglas Richard Stocker, Roman |
| author_sort | Hein, Andrew M. |
| collection | MIT |
| description | 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 |
| first_indexed | 2024-09-23T14:05:37Z |
| format | Article |
| id | mit-1721.1/114891 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T14:05:37Z |
| publishDate | 2018 |
| publisher | National Academy of Sciences (U.S.) |
| record_format | dspace |
| spelling | mit-1721.1/1148912022-10-01T19:10:36Z Natural search algorithms as a bridge between organisms, evolution, and ecology Hein, Andrew M. Levin, Simon A. Carrara, Francesco Brumley, Douglas Richard Stocker, Roman Massachusetts Institute of Technology. Department of Civil and Environmental Engineering Parsons Laboratory for Environmental Science and Engineering (Massachusetts Institute of Technology) Carrara, Francesco Brumley, Douglas Richard Stocker, Roman 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 Gordon and Betty Moore Foundation (Award GBMF3783) 2018-04-23T18:51:50Z 2018-04-23T18:51:50Z 2016-08 2016-05 2018-04-20T14:38:28Z Article http://purl.org/eprint/type/ConferencePaper 0027-8424 1091-6490 http://hdl.handle.net/1721.1/114891 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 https://orcid.org/0000-0003-2827-5615 https://orcid.org/0000-0003-0587-0251 https://orcid.org/0000-0002-3199-0508 http://dx.doi.org/10.1073/PNAS.1606195113 Proceedings of the National Academy of Sciences 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. application/pdf National Academy of Sciences (U.S.) National Academy of Sciences |
| spellingShingle | Hein, Andrew M. Levin, Simon A. Carrara, Francesco Brumley, Douglas Richard Stocker, Roman Natural search algorithms as a bridge between organisms, evolution, and ecology |
| title | Natural search algorithms as a bridge between organisms, evolution, and ecology |
| title_full | Natural search algorithms as a bridge between organisms, evolution, and ecology |
| title_fullStr | Natural search algorithms as a bridge between organisms, evolution, and ecology |
| title_full_unstemmed | Natural search algorithms as a bridge between organisms, evolution, and ecology |
| title_short | Natural search algorithms as a bridge between organisms, evolution, and ecology |
| title_sort | natural search algorithms as a bridge between organisms evolution and ecology |
| url | http://hdl.handle.net/1721.1/114891 https://orcid.org/0000-0003-2827-5615 https://orcid.org/0000-0003-0587-0251 https://orcid.org/0000-0002-3199-0508 |
| work_keys_str_mv | AT heinandrewm naturalsearchalgorithmsasabridgebetweenorganismsevolutionandecology AT levinsimona naturalsearchalgorithmsasabridgebetweenorganismsevolutionandecology AT carrarafrancesco naturalsearchalgorithmsasabridgebetweenorganismsevolutionandecology AT brumleydouglasrichard naturalsearchalgorithmsasabridgebetweenorganismsevolutionandecology AT stockerroman naturalsearchalgorithmsasabridgebetweenorganismsevolutionandecology |