A Model with Darwinian Dynamics on a Rugged Landscape

Brotto, Tommaso; Bunin, Guy; Kurchan, Jorge

doi:10.1007/s10955-016-1637-2

Cited by 5 publications

(3 citation statements)

References 42 publications

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“…lution of a population of systems: the method balances their natural dynamics (which favour the unbiased steady state) and a selection pressure, which favours systems with atypical values of some fitness function (here, active work) [91,92]. Second, we have shown that alignment among ABPs tends to suppress collisions, leading to efficient motion.…”

Section: Discussionmentioning

confidence: 90%

Optimizing active work: Dynamical phase transitions, collective motion, and jamming

et al. 2019

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Active work measures how far the local self-forcing of active particles translates into real motion. Using Population Monte Carlo methods, we investigate large deviations in the active work for repulsive active Brownian disks. Minimizing the active work generically results in dynamical arrest; in contrast, despite the lack of aligning interactions, trajectories of high active work correspond to a collectively moving, aligned state. We use heuristic and analytic arguments to explain the origin of dynamical phase transitions separating the arrested, typical, and aligned regimes. arXiv:1805.02887v3 [cond-mat.stat-mech]

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Section: Discussionmentioning

confidence: 90%

Optimizing active work: Dynamical phase transitions, collective motion, and jamming

et al. 2019

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“…From a physicist’s point of view, evolution is an example of a nonequilibrium stochastic dynamical system ( 14 – 19 ). One of the main reasons why it is very different from dynamics studied in physics or chemical physics is that the reproduction of organisms is tightly connected with relatively precise, long-time inheritance [in contrast to self-reproduction of simple molecular systems, such as amphiphilic micelles ( 20 )].…”

Section: Discussionmentioning

confidence: 99%

Evolutionary dynamics, evolutionary forces, and robustness: A nonequilibrium statistical mechanics perspective

Rao

Leibler

2022

Proc. Natl. Acad. Sci. U.S.A.

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Significance Evolution through natural selection is an overwhelmingly complex process, and it is not surprising that theoretical approaches are strongly simplifying it. For instance, population genetics considers mainly dynamics of gene allele frequencies. Here, we develop a complementary approach to evolutionary dynamics based on three elements—organism reproduction, variations, and selection—that are essential for any evolutionary theory. By considering such general dynamics as a stochastic thermodynamic process, we clarify the nature and action of the evolutionary forces. We show that some of the forces cannot be described solely in terms of fitness landscapes. We also find that one force contribution can make organism reproduction insensitive (robust) to variations.

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“…From a physicist’s point of view evolution is an example of a non-equilibrium stochastic dynamical system [19–24]. One of the main reasons why it is very different from dynamics studied in physics or chemical physics is that the reproduction of organisms is tightly connected with relatively precise, longtime inheritance (in contrast to self-reproduction of simple molecular systems, such as amphiphilic micelles [25]).…”

Section: Discussionmentioning

confidence: 99%

Evolutionary Dynamics, Evolutionary Forces, and Robustness: A Nonequilibrium Statistical Mechanics Perspective

Rao

Leibler

2021

Preprint

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Any realistic evolutionary theory has to consider: (i) the dynamics of organisms that reproduce and possess heritable traits; (ii) the appearance of stochastic variations in these traits; and (iii) the selection of those organisms that better survive and reproduce. These elements shape the "evolutionary forces" that characterize the evolutionary dynamics. Here, we introduce a general model of reproduction–variation–selection dynamics. By treating these dynamics as a non-equilibrium thermodynamic process, we make precise the notion of the forces that characterize evolution. One of these forces, in particular, can be associated with the robustness of reproduction to variations. The emergence of this trait in our model—without any explicit selection for it—is an example of a general phenomenon, which can be called enaptation, distinct from the well-known and studied phenomena of adaptation and exaptation. Some of the detailed predictions of our model can be tested by quantitative laboratory experiments, similar to those performed in the past on evolving populations of proteins or viruses.

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A Model with Darwinian Dynamics on a Rugged Landscape

Cited by 5 publications

References 42 publications

Optimizing active work: Dynamical phase transitions, collective motion, and jamming

Optimizing active work: Dynamical phase transitions, collective motion, and jamming

Evolutionary dynamics, evolutionary forces, and robustness: A nonequilibrium statistical mechanics perspective

Evolutionary Dynamics, Evolutionary Forces, and Robustness: A Nonequilibrium Statistical Mechanics Perspective

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