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Selected Papers from FIS 2017: Structure, Dynamics, Complexity in the...
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Selected Papers from FIS 2017: Structure, Dynamics, Complexity in the Informational Nature

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Theory and Methodology".

Deadline for manuscript submissions: closed (15 June 2018) | Viewed by 25355

Special Issue Editors

Prof. Dr. Marcin J. Schroeder

E-Mail Website
Guest Editor
The Faculty of International Liberal Arts, Akita International University, Akita 010-1292, Japan
Interests: philosophy of information and computation; philosophy and history of science and logic; foundations of physics and mathematics; mathematical formalization of scientific theories
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Gordana Dodig-Crnkovic

E-Mail Website1 Website2
Guest Editor
1. Department of Computer Science and Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden
2. School of Innovation, Design and Engineering, Mälardalen University, 721 23 Västerås, Sweden
Interests: computing paradigms; computational mechanisms of cognition; philosophy of science; epistemology of science; computing and philosophy; ethics of computing; information ethics; roboethics and engineering ethics; sustainability ethics
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Pedro C. Marijuán

E-Mail Website
Guest Editor
Grupo de Bioinformación / Bioinformation Group, Instituto Aragonés de Ciencias de la Salud, Centro de Investigación Biomédica de Aragón (CIBA), 50009 Zaragoza, Spain
Interests: multidisciplinary research; systems biology; biology & information; scientomics; sensory-motor approach; laughter research; social information; information science; information philosophy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We invite contributions that use the informational perspective to explore the issues associated with concepts of structure, dynamics, and complexity encountered in nature, and to resolve problems related to limitations and challenges associated with them. For instance, the problem of overcoming the limitations of complexity (one of the greatest challenges of present time) may find solution through nature inspired innovative forms of computation exemplifying dynamics of information. On the other hand, our increasing understanding of computation or dynamics of information may give us novel methods of exploration of nature. Reflection on this and other challenges will be of great interest for the conference.

We do not set any limitations on the way the mutual relations between the key concepts of structure, dynamics and complexity in informational nature are studied, but we expect that the concept of information will serve well as a point of reference for the exchange of views between participants of the conference. This does not preclude that one of the most frequently invoked questions in the discussions probably will be “What is information?”

This Special Issue will contain the expanded versions of selected papers presented at the FIS 2017 Conference (http://is4si-2017.org/program/conferences/fis-2017/) of the 2017 IS4SI Summit held in Gothenburg, Sweden, 12–16 June 2017.

Prof. Dr. Marcin J. Schroeder
Prof. Dr. Pedro C. Marijuán
Prof. Dr. Gordana Dodig-Crnkovic
Guest Editors

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 submissions that pass pre-check are 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. Information 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 1600 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.

Published Papers (5 papers)

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8 pages, 167 KiB  
Article
“Indirect” Information: The Debate on Testimony in Social Epistemology and Its Role in the Game of “Giving and Asking for Reasons”
by Raffaela Giovagnoli
Information 2019, 10(3), 101; https://doi.org/10.3390/info10030101 - 07 Mar 2019
Cited by 1 | Viewed by 3021
Abstract
We will sketch the debate on testimony in social epistemology by reference to the contemporary debate on reductionism/anti-reductionism, communitarian epistemology and inferentialism. Testimony is a fundamental source of knowledge we share and it is worthy to be considered in the ambit of a [...] Read more.
We will sketch the debate on testimony in social epistemology by reference to the contemporary debate on reductionism/anti-reductionism, communitarian epistemology and inferentialism. Testimony is a fundamental source of knowledge we share and it is worthy to be considered in the ambit of a dialogical perspective, which requires a description of a formal structure, which entails deontic statuses and deontic attitudes. In particular, we will argue for a social reformulation of the “space of reasons”, which establishes a fruitful relationship with the epistemological view of Wilfrid Sellars. Full article
(This article belongs to the Special Issue Selected Papers from FIS 2017: Structure, Dynamics, Complexity in the Informational Nature)
14 pages, 1530 KiB  
Article
Review of Implementation of Augmented Reality into the Georeferenced Analogue and Digital Maps and Images
by Piotr A. Werner
Information 2019, 10(1), 12; https://doi.org/10.3390/info10010012 - 30 Dec 2018
Cited by 20 | Viewed by 5613
Abstract
Augmented reality (AR) combines information from databases with information derived directly through the human senses or different sensors. AR is the organic, real-time, and dynamically overlaying virtual images created by computers and other information on a real environment that the observer can see. [...] Read more.
Augmented reality (AR) combines information from databases with information derived directly through the human senses or different sensors. AR is the organic, real-time, and dynamically overlaying virtual images created by computers and other information on a real environment that the observer can see. Virtual information changes according to the movement of the observer, as if that virtual information truly exists in the real world. The convergence of geographic information systems (GIS), web mapping, mobile technology, and augmented reality (AR) implies the emergence of location based systems (LBS) and, in turn, the diminishing use of traditional analog maps by smartphone users. The focus and review of current achievements in this subject on the wider trends of the use of AR also prove that coding of some data and metadata on an image or a map (both in digital and analogue form) permits inter alia the inclusion of, for example, a paper map or analogue image into the chain of digital devices use. Some solutions, remarks, and comments concerning functioning of the digitally augmented (printed) map and their digital counterparts within the information society are presented. Full article
(This article belongs to the Special Issue Selected Papers from FIS 2017: Structure, Dynamics, Complexity in the Informational Nature)
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18 pages, 6084 KiB  
Article
Triadic Structures in Interpersonal Communication
by Mark Burgin
Information 2018, 9(11), 283; https://doi.org/10.3390/info9110283 - 16 Nov 2018
Cited by 4 | Viewed by 3633
Abstract
Communication, which is information exchange between systems, is one of the basic information processes. To better understand communication and develop more efficient communication tools, it is important to have adequate and concise, static and dynamic, structured models of communication. The principal goal of [...] Read more.
Communication, which is information exchange between systems, is one of the basic information processes. To better understand communication and develop more efficient communication tools, it is important to have adequate and concise, static and dynamic, structured models of communication. The principal goal of this paper is explication of the communication structures, formation of their adequate mathematical models and description of their dynamic interaction. Exploring communication in the context of structures and structural dynamics, we utilize the most fundamental structure in mathematics, nature and cognition, which is called a named set or a fundamental triad because this structure has been useful in a variety of areas including networks and networking, physics, information theory, mathematics, logic, database theory and practice, artificial intelligence, mathematical linguistics, epistemology and methodology of science, to mention but a few. In this paper, we apply the theory of named sets (fundamental triads) for description and analysis of interpersonal communication. As a result, we explicate and describe of various structural regularities of communication, many of which are triadic by their nature allowing more advanced and efficient organization of interpersonal communication. Full article
(This article belongs to the Special Issue Selected Papers from FIS 2017: Structure, Dynamics, Complexity in the Informational Nature)
19 pages, 1061 KiB  
Article
The Analysis of the Internet Development Based on the Complex Model of the Discursive Space
by Rafal Maciag
Information 2018, 9(1), 7; https://doi.org/10.3390/info9010007 - 03 Jan 2018
Cited by 4 | Viewed by 4633
Abstract
This paper aims to present a new way of understanding and elaborating the current state of reality which has a substantial dependency on technology. An example of such a relatively mature technology is the Internet. The discursive space (DS) is a proposed new [...] Read more.
This paper aims to present a new way of understanding and elaborating the current state of reality which has a substantial dependency on technology. An example of such a relatively mature technology is the Internet. The discursive space (DS) is a proposed new cognitive tool, which can be used for this purpose. DS is constructed based on the idea of the discourse and the idea of the configuration space, state space, phase space, and space-time, etc. Discourse is understood as the representation/creation of reality, which means that it can also be understood as a carrier of knowledge. The configuration space, etc., is a tool elaborated in the field of physics for describing complex phenomena. DS is a tool for acquiring knowledge analogous to formal information processes, but is based on another interpretation of the existence of knowledge. This interpretation sees knowledge as a social construction and not as an independent entity, which can be described by rigorous formal procedure. The necessity of such tools comes inter alia from management, particularly from humanistic management, where it can describe the Internet as a dynamic and complex environment for organizations that understand it as a basic unit of the social space of reality. Full article
(This article belongs to the Special Issue Selected Papers from FIS 2017: Structure, Dynamics, Complexity in the Informational Nature)
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234 KiB  
Article
Structural and Symbolic Information in the Context of the General Theory of Information
by Mark Burgin and Rainer Feistel
Information 2017, 8(4), 139; https://doi.org/10.3390/info8040139 - 06 Nov 2017
Cited by 8 | Viewed by 7568
Abstract
The general theory of information, which includes syntactic, semantic, pragmatic, and many other special theories of information, provides theoretical and practical tools for discerning a very large diversity of different kinds, types, and classes of information. Some of these kinds, types, and classes [...] Read more.
The general theory of information, which includes syntactic, semantic, pragmatic, and many other special theories of information, provides theoretical and practical tools for discerning a very large diversity of different kinds, types, and classes of information. Some of these kinds, types, and classes are more important and some are less important. Two basic classes are formed by structural and symbolic information. While structural information is intrinsically imbedded in the structure of the corresponding object or domain, symbolic information is represented by symbols, the meaning of which is subject to arbitrary conventions between people. As a result, symbolic information exists only in the context of life, including technical and theoretical constructs created by humans. Structural information is related to any objects, systems, and processes regardless of the existence or presence of life. In this paper, properties of structural and symbolic information are explored in the formal framework of the general theory of information developed by Burgin because this theory offers more powerful instruments for this inquiry. Structural information is further differentiated into inherent, descriptive, and constructive types. Properties of correctness and uniqueness of these types are investigated. In addition, predictive power of symbolic information accumulated in the course of natural evolution is considered. The phenomenon of ritualization is described as a general transition process from structural to symbolic information. Full article
(This article belongs to the Special Issue Selected Papers from FIS 2017: Structure, Dynamics, Complexity in the Informational Nature)
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