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Mutation, specialization, and hypersensitivity in highly optimized tolerance

Zhou, Tong and Carlson, J. M. and Doyle, John (2002) Mutation, specialization, and hypersensitivity in highly optimized tolerance. Proceedings of the National Academy of Sciences of the United States of America, 99 (4). pp. 2049-2054. ISSN 0027-8424. PMCID PMC122317. doi:10.1073/pnas.261714399. https://resolver.caltech.edu/CaltechAUTHORS:ZHOpnas02b

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Abstract

We introduce a model of evolution in which competing organisms are represented by percolation lattice models. Fitness is based on the number of occupied sites remaining after removing a cluster connected to a randomly selected site. High-fitness individuals arising through mutation and selection must trade off density versus robustness to loss, and are characterized by cellular barrier patterns that prevent large cascading losses to common disturbances. This model shows that Highly Optimized Tolerance (HOT), which links complexity to robustness in designed systems, arises naturally through Darwinian mechanisms. Although the model is a severe abstraction of biology, it produces a surprisingly wide variety of micro- and macroevolutionary features strikingly similar to real biological evolution.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1073/pnas.261714399DOIArticle
http://www.ncbi.nlm.nih.gov/pmc/articles/pmc122317/PubMed CentralArticle
ORCID:
AuthorORCID
Doyle, John0000-0002-1828-2486
Additional Information:© 2002 by the National Academy of Sciences Communicated by James S. Langer, University of California, Santa Barbara, CA, December 31, 2001 (received for review April 24, 2001) We thank Jeff Endelman, Carl Robert, and Deborah Fygenson for helpful discussions. This work was supported by the David and Lucile Packard Foundation, National Science Foundation Grant DMR-9813752, and the Electric Power Research Institute/Department of Defense through the Program on Interactive Complex Networks. Theoretical foundations for this work were developed in the Air Force Office of Scientific Research/Department of Defense Multidisciplinary University Research Initiative "Uncertainty Management in Complex Systems."
Funders:
Funding AgencyGrant Number
David and Lucile Packard FoundationUNSPECIFIED
NSFDMR-9813752
Electric Power Research Institute (EPRI)UNSPECIFIED
Air Force Office of Scientific Research (AFOSR)UNSPECIFIED
Subject Keywords:SOC, self-organized criticality; EOC, edge of chaos; HOT, Highly Optimized Tolerance
Issue or Number:4
PubMed Central ID:PMC122317
DOI:10.1073/pnas.261714399
Record Number:CaltechAUTHORS:ZHOpnas02b
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:ZHOpnas02b
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:1529
Collection:CaltechAUTHORS
Deposited By: Archive Administrator
Deposited On:26 Jan 2006
Last Modified:08 Nov 2021 19:11

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