Measuring External Complexity of Complex Adaptive Systems Using Onicescu’s Informational Energy
Mediterranean Journal of Social Sciences
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Title |
Measuring External Complexity of Complex Adaptive Systems Using Onicescu’s Informational Energy
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Creator |
Avram, Vasile
Rizescu (Avram), Diana |
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Description |
During the last decades the complexity theory of complex adaptive systems has captured the attention of a plethora of people, ranging from scientists and to the general public, through its discussions on emergence, behavior, self-organization, computer simulations and so on with a strong emphasis in the globalization context. The intuitively given explanations about produced phenomena are hardly accepted, by regular people, without giving them scientifically proofs with some measurements and figures. Thus we are forced to find new measurements and analysis tools or to adapt the existing ones, for better understand those systems. The social systems and economic systems become more complex and unpredictable and necessitate the use, among other things, of the acquirements of social psychology to better understand and monitor them. Having a large number of mutually internetworked and interdependent parts the complex adaptive systems are hard to model and understand, so that any theory or practice defined/ applied to reduce the area of the analyzed complexity and making analysis, modeling and simulation feasible is welcome and useful. The analysis of both, external complexity and internal complexity of complex adaptive systems, as defined by Jüergen Jost, become a starting point. The external complexity addresses the volume of inputs (as information/ energy), from system’s environment, that the system is capable to manipulate or to process, while, the internal complexity is a measure of input representation by the system, in fact, the model complexity. For both categories the existing model uses entropy, or other formulas based on, to measure the system. This paper introduces the usage of Onicescu's Informational Energy theory and measures, based on frequencies used in statistics, to approximate the measurements of external complexity. The aim of the paper is not to use a technology instead another, but a way to simplify and express some measurements in terms of normal frequencies, the general people encounter daily and better understand, and not in terms of probabilities that requires mathematics skills and, maybe, sophisticated computational tools from the normal reader part, for better understanding. DOI: 10.5901/mjss.2014.v5n22p407 |
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Publisher |
Mediterranean Journal of Social Sciences
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Contributor |
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Date |
2014-09-08
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Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion — |
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Format |
application/pdf
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Identifier |
https://www.mcser.org/journal/index.php/mjss/article/view/4352
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Source |
Mediterranean Journal of Social Sciences; Vol 5, No 22 (2014): Special Issue - September 2014; 407
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Language |
eng
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Relation |
https://www.mcser.org/journal/index.php/mjss/article/view/4352/4256
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Rights |
Submission of an article implies that the work described has not been published previously (except in the form of an abstract or as part of a published lecture or academic thesis), that it is not under consideration for publication elsewhere, that its publication is approved by all authors and tacitly or explicitly by the responsible authorities where the work was carried out, and that, if accepted, will not be published elsewhere in the same form, in English or in any other language, without the written consent of the Publisher. The Editors reserve the right to edit or otherwise alter all contributions, but authors will receive proofs for approval before publication. Copyrights for articles published in MCSER journal are retained by the authors, with first publication rights granted to the journal. The journal/publisher is not responsible for subsequent uses of the work. It is the author's responsibility to bring an infringement action if so desired by the author. |
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