Empirical Evidence for a Law of Information Growth

Coren, R. L.

doi:10.3390/e3040259

Cited by 7 publications

(14 citation statements)

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“…Richard L. Coren (2001) has introduced a model that describes a systematic growth of information on Earth. Coren argues that "the totality of changes of ordered systems under the influence of changing environmental forces is toward greater order and information" (Coren 2002, 33).…”

Section: Information Growth and Evolutionary Trajectorymentioning

confidence: 99%

Post-Organic Informational Condition: Hypotheses on the Nature and Role of Information in Human Systems

Kylmälä

2011

World Futures

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This article examines human systemic condition and its evolved cultural organization from the perspective of information. The aim is to discuss general, tentative hypotheses on the nature and role of information in human systems. As a framework, the article considers information as the underlying parameter of growth on the general evolutionary trajectory. Information growth experienced an unprecedented increase at the appearance of Homo Sapiens Sapiens, which, as is well known, implies the trajectory's close relation to our species. This has led to the notion of post-organic evolutionary era in which humankind, through cultural evolutionary means, is in the process of supplanting biological determinants. Development, understood generally as victory over nature, has always been the measure by which our species has defined its success; humankind persists in faith in technical solutions to all problems.

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Section: Information Growth and Evolutionary Trajectorymentioning

confidence: 99%

Post-Organic Informational Condition: Hypotheses on the Nature and Role of Information in Human Systems

Kylmälä

2011

World Futures

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“…We are the conscious originators of the last, technological, informational inventions on the information trajectory of reference [1]. We can therefore appreciate the motivation they represent for information expansion, even as we inquire about its connection to the law of entropy.…”

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confidence: 99%

“…A recent paper [1] in this journal presented evidence for a systematic growth of information in the history of the cosmos, of the life on earth, and of the technology developed there. This evidence is empirical, guided by a cybernetic model of evolution that has been successfully applied to several other physical and sociological phenomena [2].…”

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confidence: 99%

“…Once genes are involved the nature of order/information change can take different forms, leading to vast complexification of structure and, ultimately, of a neural net and brain, as illustrated by those events on the information trajectory of reference [1]. For example, there seems to have been an impetus for the evolutionary development of information communication.…”

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confidence: 99%

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Abstract: Notes added in proof of an earlier paper on an empirical "law" of information growth in evolution, and in response to questions raised therein.Keywords: Information growth, system stability, evolution A recent paper [1] in this journal presented evidence for a systematic growth of information in the history of the cosmos, of the life on earth, and of the technology developed there. This evidence is empirical, guided by a cybernetic model of evolution that has been successfully applied to several other physical and sociological phenomena [2].

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Comments on "A Law of Information Growth"

Coren

2002

Entropy

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Notes added in proof of an earlier paper on an empirical "law" of information growth in evolution, and in response to questions raised therein.Keywords: Information growth, system stability, evolution A recent paper [1] in this journal presented evidence for a systematic growth of information in the history of the cosmos, of the life on earth, and of the technology developed there. This evidence is empirical, guided by a cybernetic model of evolution that has been successfully applied to several other physical and sociological phenomena [2]. In this case the scale of the data offered is so great, and because the relation between information and entropy is so close [3], the question was raised of the relation being an unrecognized aspect of the second law of thermodynamics. In particular it was asked "whether a theoretical foundation can be found for this phenomenology . . . ."That paper also points out that: "From the Second Law of Thermodynamics, we know that the increase of entropy is a consequence of the dynamics of system change, not their source, although we often use it as such. However, 'Processes that generate order are in no sense driven by the growth of entropy [4].' The relation between entropy and information means that this is true of the latter as well as the former." This implies that indirect mechanisms must be involved in the information development described.In this regard, Schneider and Kay [5] discuss the behavior of systems in dynamic equilibrium under a set of external fluxes and forces. When these influences change, the systems react in ways to resist being moved from their equilibrium. If a threshold is crossed they may develop a new state to oppose further movement from equilibrium. A common example is the Benard cell, a container of fluid heated from below. Heat rises through the liquid by conduction, i.e., molecular collisions. If the temperature gradient and heat flux increase too much the cell suddenly displays an emergent, coherent

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Moore’s Law revisited through Intel chip density

Burg

Ausubel

2021

PLoS ONE

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Gordon Moore famously observed that the number of transistors in state-of-the-art integrated circuits (units per chip) increases exponentially, doubling every 12–24 months. Analysts have debated whether simple exponential growth describes the dynamics of computer processor evolution. We note that the increase encompasses two related phenomena, integration of larger numbers of transistors and transistor miniaturization. Growth in the number of transistors per unit area, or chip density, allows examination of the evolution with a single measure. Density of Intel processors between 1959 and 2013 are consistent with a biphasic sigmoidal curve with characteristic times of 9.5 years. During each stage, transistor density increased at least tenfold within approximately six years, followed by at least three years with negligible growth rates. The six waves of transistor density increase account for and give insight into the underlying processes driving advances in processor manufacturing and point to future limits that might be overcome.

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Empirical Evidence for a Law of Information Growth

Cited by 7 publications

References 11 publications

Post-Organic Informational Condition: Hypotheses on the Nature and Role of Information in Human Systems

Post-Organic Informational Condition: Hypotheses on the Nature and Role of Information in Human Systems

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Moore’s Law revisited through Intel chip density

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