Literature DB >> 22962549

Evolutionary mechanics: new engineering principles for the emergence of flexibility in a dynamic and uncertain world.

James M Whitacre, Philipp Rohlfshagen, Axel Bender, Xin Yao.   

Abstract

Engineered systems are designed to deftly operate under predetermined conditions yet are notoriously fragile when unexpected perturbations arise. In contrast, biological systems operate in a highly flexible manner; learn quickly adequate responses to novel conditions, and evolve new routines and traits to remain competitive under persistent environmental change. A recent theory on the origins of biological flexibility has proposed that degeneracy-the existence of multi-functional components with partially overlapping functions-is a primary determinant of the robustness and adaptability found in evolved systems. While degeneracy's contribution to biological flexibility is well documented, there has been little investigation of degeneracy design principles for achieving flexibility in systems engineering. Actually, the conditions that can lead to degeneracy are routinely eliminated in engineering design. With the planning of transportation vehicle fleets taken as a case study, this article reports evidence that degeneracy improves the robustness and adaptability of a simulated fleet towards unpredicted changes in task requirements without incurring costs to fleet efficiency. We find that degeneracy supports faster rates of design adaptation and ultimately leads to better fleet designs. In investigating the limitations of degeneracy as a design principle, we consider decision-making difficulties that arise from degeneracy's influence on fleet complexity. While global decision-making becomes more challenging, we also find degeneracy accommodates rapid distributed decision-making leading to (near-optimal) robust system performance. Given the range of conditions where favorable short-term and long-term performance outcomes are observed, we propose that degeneracy may fundamentally alter the propensity for adaptation and is useful within different engineering and planning contexts.

Entities:  

Year:  2011        PMID: 22962549      PMCID: PMC3430842          DOI: 10.1007/s11047-011-9296-3

Source DB:  PubMed          Journal:  Nat Comput        ISSN: 1567-7818            Impact factor:   1.690


  20 in total

1.  Measures of degeneracy and redundancy in biological networks.

Authors:  G Tononi; O Sporns; G M Edelman
Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-16       Impact factor: 11.205

Review 2.  Reverse engineering of biological complexity.

Authors:  Marie E Csete; John C Doyle
Journal:  Science       Date:  2002-03-01       Impact factor: 47.728

3.  Complexity and robustness.

Authors:  J M Carlson; John Doyle
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-19       Impact factor: 11.205

4.  Near-neutrality in evolution of genes and gene regulation.

Authors:  Tomoko Ohta
Journal:  Proc Natl Acad Sci U S A       Date:  2002-12-02       Impact factor: 11.205

5.  Redundant representations in evolutionary computation.

Authors:  Franz Rothlauf; David E Goldberg
Journal:  Evol Comput       Date:  2003       Impact factor: 3.277

6.  Innovation and robustness in complex regulatory gene networks.

Authors:  S Ciliberti; O C Martin; A Wagner
Journal:  Proc Natl Acad Sci U S A       Date:  2007-08-09       Impact factor: 11.205

Review 7.  Evolvability.

Authors:  M Kirschner; J Gerhart
Journal:  Proc Natl Acad Sci U S A       Date:  1998-07-21       Impact factor: 11.205

Review 8.  Order without design.

Authors:  Alexei Kurakin
Journal:  Theor Biol Med Model       Date:  2010-04-14       Impact factor: 2.432

9.  Networked buffering: a basic mechanism for distributed robustness in complex adaptive systems.

Authors:  James M Whitacre; Axel Bender
Journal:  Theor Biol Med Model       Date:  2010-06-15       Impact factor: 2.432

10.  Scale-free flow of life: on the biology, economics, and physics of the cell.

Authors:  Alexei Kurakin
Journal:  Theor Biol Med Model       Date:  2009-05-05       Impact factor: 2.432

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  2 in total

1.  Degeneracy allows for both apparent homogeneity and diversification in populations.

Authors:  James M Whitacre; Sergei P Atamas
Journal:  Biosystems       Date:  2012-08-10       Impact factor: 1.973

2.  Biological robustness: paradigms, mechanisms, and systems principles.

Authors:  James Michael Whitacre
Journal:  Front Genet       Date:  2012-05-11       Impact factor: 4.599

  2 in total

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