Complexity: An energetics agenda

Chaisson, Eric J.

doi:10.1002/cplx.20009

Cited by 38 publications

(24 citation statements)

References 16 publications

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“…We study the processes of self‐organization in nature seeking to find one set of rules or one universal law that causes all of them to occur. The importance of such an endeavor has been recognized, particularly when it comes to the optimization of energy flows in a system . The appearance of elementary particles from radiation energy after the Big Bang started a chain of events that is the object of our study.…”

Section: Introductionmentioning

confidence: 99%

Mechanism of organization increase in complex systems

et al. 2014

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This paper proposes a variational approach to describe the evolution of organization of complex systems from first principles, as increased efficiency of physical action. Most simply stated, physical action is the product of the energy and time necessary for motion. When complex systems are modeled as flow networks, this efficiency is defined as a decrease of action for one element to cross between two nodes, or endpoints of motion - a principle of least unit action. We find a connection with another principle that of most total action, or a tendency for increase of the total action of a system. This increase provides more energy and time for minimization of the constraints to motion in order to decrease unit action, and therefore to increase organization. Also, with the decrease of unit action in a system, its capacity for total amount of action increases. We present a model of positive feedback between action efficiency and the total amount of action in a complex system, based on a system of ordinary differential equations, which leads to an exponential growth with time of each and a power law relation between the two. We present an agreement of our model with data for core processing units of computers. This approach can help to describe, measure, manage, design and predict future behavior of complex systems to achieve the highest rates of self-organization and robustness.Comment: 22 pages, 4 figures, 1 tabl

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Section: Introductionmentioning

confidence: 99%

Mechanism of organization increase in complex systems

et al. 2014

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“…The irregular and dwarf galaxies of the Local Group are different, given that their observed stellar velocity dispersions imply that these smaller systems are even more dark-matter dominated. Prominent among our Galaxy's 20 satellites (most with remarkably similar 10 [6][7][8] M within 0.3 kpc [14,15]) are the Large and Small Magellanic Clouds, satellite irregular galaxies (of masses 10 10 and 5 3 10 9 M , sizes 4 and 2 kpc, and distances 50 and 60 kpc, respectively); it is unclear if these Clouds are beyond the Galaxy or within its extended, nearly spherical halo, which is a remnant of an earlier evolutionary stage where old Population-II stars with low heavyelement (>He) abundances (0.1% by mass) predate the younger, higher-elemental-abundance (1% as in the Sun), Population-I stars in the galactic disk. Computer simulations of the early Universe that includes cold, nonrelativistic dark matter (''LCDM standard cosmology'' model [16]) predict that >10 3 dwarf galaxies should now inhabit the Local Group, but only 50 have been found thus far [17].…”

Section: Milky Way Galaxy and Its Celestial Neighbors Among Many Phymentioning

confidence: 99%

“…I have related this story in recent years in the technical literature [2,3], in the university classroom [4], and in general books and films [5,6]. A concise overview of this research was also published earlier in this journal [7].…”

mentioning

confidence: 94%

Energy rate density. II. Probing further a new complexity metric

Chaisson

2011

Complexity

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Appraisal of the concept of energy rate density continues, as both a potential quantitative metric for complexity studies and a key feature of a unifying hypothesis for the origin and evolution of material systems throughout Nature writ large. This article extends a recent study reported in this journal, hereby analyzing normalized energy flows for an array of complex systems experiencing physical, biological, and cultural evolution. The results strengthen the comprehensive scenario of cosmic evolution in broad and general ways yet with much deep, empirical evidence.

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“…The first of these is nanoscience, where chemistry, physics, biology, engineering, medicine, crime scene investigation, ethics, and complex system studies of emergence run together. The second is astrobiology, where Eric Chaisson's Cosmic Evolution [3,4] (a natural history of invention with physical science roots) and Brownlee and Ward's Rare Earth [5] intersect our distant past, and our distant future. The third is complex system informatics, where the code-based sciences (genetics, computer science, linguistics), thermal physics, journalism, networks, and statistical inference join up.…”

Section: Introductionmentioning

confidence: 99%

A simplex model for layered niche networks

Fraundorf

2008

Complexity

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The standing crop of correlations in metazoan communities may be assessed by an inventory of niche structures focused inward and outward from the physical boundaries of skin (self ), gene-pool (family), and meme-pool (culture). We consider tracking the progression from three and four correlation layers in many animal communities, to five of six layers for the shared adaptation of most humans, with an attention-slice model that maps the niche-layer focus of individuals onto the 6-variable space of a 5-simplex. The measure puts questions about the effect, on culture and species, of policy and natural events into a common context, and may help explore the impact of electronically mediated codes on community health.

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Complexity: An energetics agenda

Cited by 38 publications

References 16 publications

Mechanism of organization increase in complex systems

Mechanism of organization increase in complex systems

Energy rate density. II. Probing further a new complexity metric

A simplex model for layered niche networks

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