Special Issue "Entropy and Organization in Natural and Social Systems"

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Complexity".

Deadline for manuscript submissions: 31 January 2022.

Special Issue Editor

Dr. Ashwin Vaidya
E-Mail Website
Guest Editor
Department of Mathematics, Montclair State University, Montclair, NJ 07043, USA
Interests: mathematical fluid mechanics; non-linear partial differential equations; hydrodynamic stability; non-Newtonian fluid mechanics; fluid–structure interaction; experimental fluid mechanics; philosophy of science
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Special Issue Information

This issue is devoted to themes of organization and emergence, which are inherent traits of any complex system out of equilibrium. Complexity and self-organization are observed across systems or scales, be they physical, biological, economic, or sociological resulting in a quest for a fundamental unifying explanation that bridges the divide between living and non-living systems. The “immutable laws of thermodynamics”, as Sir Arthur Eddington put it, have proved to be robust and expansive in their explanatory power, as several articles in this very journal will indicate. The associated ideas of energy, entropy, equilibrium, complexity, etc. are now part of the lexicon of more than the natural sciences; they have invaded fields such as economics, education, psychology, sociology, sustainability, and political science, among others. The works of Nicolas Georgescu-Rogen in economics, Kenneth Bailey in sociology, Stephen Coleman in political science, Rudolf Arnheim in art, and William Doll in education are some classic examples of diffusion of thermodynamics beyond its birth-home in physics. This Special Issue is focused on understanding the diverse ways in which we recognize, define and discuss structures, patterns, and dynamics in different systems and their connection to thermodynamic principles by bringing together scholarship from different fields (natural and social sciences) to help to foster an interdisciplinary dialogue. We invite contributions from researchers in any discipline working on topics related to these topics. Theoretical, experimental, field data-driven, philosophical or even historical articles are welcome, provided they are relevant, novel, and abide by the journal requirements. Since the issue aims to bridge the disciplinary divide, we ask that authors clearly define terms and the approaches taken in a manner comprehensible to scholars from other fields. All papers will undergo rigorous peer-review.

Dr. Ashwin Vaidya
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • entropy
  • organization
  • emergence
  • systems theory
  • steady state
  • pattern formation
  • social entropy
  • out of equilibrium

Published Papers (2 papers)

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Research

Article
Entropy-Based Behavioural Efficiency of the Financial Market
Entropy 2021, 23(11), 1396; https://0-doi-org.brum.beds.ac.uk/10.3390/e23111396 - 24 Oct 2021
Viewed by 446
Abstract
The most known and used abstract model of the financial market is based on the concept of the informational efficiency (EMH) of that market. The paper proposes an alternative which could be named the behavioural efficiency of the financial market, which is based [...] Read more.
The most known and used abstract model of the financial market is based on the concept of the informational efficiency (EMH) of that market. The paper proposes an alternative which could be named the behavioural efficiency of the financial market, which is based on the behavioural entropy instead of the informational entropy. More specifically, the paper supports the idea that, in the financial market, the only measure (if any) of the entropy is the available behaviours indicated by the implicit information. Therefore, the behavioural entropy is linked to the concept of behavioural efficiency. The paper argues that, in fact, in the financial markets, there is not a (real) informational efficiency, but there exists a behavioural efficiency instead. The proposal is based both on a new typology of information in the financial market (which provides the concept of implicit information—that is, that information ”translated” by the economic agents from observing the actual behaviours) and on a non-linear (more exactly, a logistic) curve linking the behavioural entropy to the behavioural efficiency of the financial markets. Finally, the paper proposes a synergic overcoming of both EMH and AMH based on the new concept of behavioural entropy in the financial market. Full article
(This article belongs to the Special Issue Entropy and Organization in Natural and Social Systems)
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Article
A Network Theory Approach to Curriculum Design
Entropy 2021, 23(10), 1346; https://0-doi-org.brum.beds.ac.uk/10.3390/e23101346 - 15 Oct 2021
Viewed by 417
Abstract
In this paper we hypothesize that education, especially at the scale of curriculum, should be treated as a complex system composed of different ideas and concepts which are inherently connected. Therefore, the task of a good teacher lies in elucidating these connections and [...] Read more.
In this paper we hypothesize that education, especially at the scale of curriculum, should be treated as a complex system composed of different ideas and concepts which are inherently connected. Therefore, the task of a good teacher lies in elucidating these connections and helping students make their own connections. Such a pedagogy allows students to personalize learning and strive to be ‘creative’ and make meaning out of old ideas. The novel contribution of this work lies in the mathematical approach we undertake to verify our hypothesis. We take the example of a precalculus course curriculum to make our case. We treat textbooks as exemplars of a specific pedagogy and map several texts into networks of isolated (nodes) and interconnected concepts (edges) thereby permitting computations of metrics which have much relevance to the education theorists, teachers and all others involved in the field of education. We contend that network metrics such as average path length, clustering coefficient and degree distribution provide valuable insights to teachers and students about the kind of pedagogy which encourages good teaching and learning. Full article
(This article belongs to the Special Issue Entropy and Organization in Natural and Social Systems)
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