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This bibliometric mapping study aimed to provide comprehensive insights into the global research landscape of cybernetics. Utilizing the biblioshiny function in R Studio, we conducted an analysis spanning 1958 to 2023, sourcing data from Scopus. This research focuses on key terms such as cybernetics, cybernetics systems, complex adaptive systems, viable system models (VSM), agent-based modeling, feedback loops and complexity systems.

The analysis leveraged R Studio’s biblioshiny function to perform bibliometric mapping. Keyword searches were conducted within titles, abstracts and keywords, targeting terms central to cybernetics. The timespan, 1958–2023, provides a comprehensive overview of the evolution of cybernetics-related literature. The data were extracted from Scopus to ensure a robust and widely recognized source.

The results revealed a rich and interconnected global research network in cybernetics. The word cloud analysis highlights prominent terms such as “agent-based modeling,” “complex adaptive systems,” “feedback loop,” “viable system model” and “cybernetics.” Notably, the journal Kybernetes has emerged as a focal point, with significant citations, solidifying its position as a key source within the cybernetics research domain. The bibliometric map provides visual clarity regarding the relationships between various concepts and their evolution over time.

This study contributes original insights by employing advanced bibliometric techniques in R Studio to map the cybernetics research landscape. The comprehensive analysis sheds light on the evolution of key concepts and the global collaborative networks shaping cybernetics research. The identification of influential sources, such as Kybernetes, adds value to researchers seeking to navigate and contribute to the dynamic field of cybernetics. Furthermore, this study highlights that cybernetics not only provides a useful framework for understanding and managing major economic shocks but also offers perspectives for understanding phenomena in various fields such as economics, medicine, environmental sciences and climate change.

In this conceptual paper the authors aim to discuss the implications of a second-order cybernetic approach and eigenbehavior in ecosystem management. The authors argue that traditional management practices rely on the agreement of stakeholders, but this approach cannot satisfy multiple-objective realities, making radical constructivism necessary.

The authors examined this conjecture using a multi-agent simulation exercise. Agents display individual behavior consistent with the organizing principles proposed by von Foerster (eigenform and eigenbehavior), Hoffman (perception and fitness) and Maturana (domains of realization). This exercise is complemented with an ecosystem management classification exercise to show how convergence is achieved when a team of trained professionals describes entities of low versus high complexity in a spatially explicit domain.

The authors showed that eigenforms can diverge significantly depending on the complexity of the problem. The capacity of observers to stabilize an eigenform and create a common ground for understanding depends on the complexity of the problem at hand and their cognitive diversity. The authors highlighted the difficulties that arose when observation and modification through the intervention of the environment cannot be detached. The authors argue that this situation deeply permeates ecosystem resource management due to the unpredictable outcomes displayed by entities embedded into open system dynamics.

Finally, the authors propose that the association between indication and transformation can be operationally interconnected as Eigenperception, which corresponds to a novel dynamic state bridging the gap between noise and eigenform. This concept of Eigenperception encapsulates entities that arise from eigenbehavior, encompassing observations, meanings, human transformative actions and ecological processes, all in a simultaneous manner.

This study aims to demonstrate the importance of the requisite trust for the processes of digitalization of business, the state and society in general.

The work is built “from particular to general”. The analysis of many cases of digitalization projects leads to some higher-level principles useful for description most of them – trust, umwelt and complexity.

Based on the analysis of empirical material, the principle of requisite trust is introduced based on the definition of trust through a “relevant umwelt”. In addition, the article examines many aspects of society digitalization processes using cybernetic concepts. It is shown that (1) in the core of digitalization process is the export of the umwelt from human head to a computer (digital umwelt), (2) models used in the digital platforms are not only a reflection of social processes, but have a significant impact on them, like the observers of cybernetics of the second order and (3) umwelt concept is closely related to a social reality concept, meanings are relative and are carried by the communication systems.

The paper summarized practical and theoretical experience in the field of digital projects and introduced The Law of Requisite Trust. In the future, this principle should be studied more formally in quantitative terms.

The principle of requisite trust, as well as the definition of trust through the relevant umwelt is original. The promotion of trust in organizations and also digital organizations using such instruments as standard of social responsibility (ISO 26000) has high practical value.

The introduction in Italy in July 2021 of the “COVID-19 Green Certification”, known as the “Green Pass”, was a particularly important moment in the political and social history of the country. While its use for health reasons is debatable both logically and scientifically, its effects should be measured at the general sociological level. The “Green Pass” allowed Italian social life to be shaped according to a social and political profile that can be traced back to a “society of control”. This paper aims to discuss the aforementioned issue.

This paper, of a theoretical nature, intends to verify such an interpretation through a critical survey of Gilles Deleuze's well-known Post-scriptum sur les sociétés de contrôle (1990) and relating the theories to it from cybernetic science, sociology of social systems and the continental philosophy, specifically Michel Foucault. After a short introduction on the history of the instrument's introduction, the paper, divided into parts reflecting the set-up of Deleuze's text, examines the systemic social effects of the “Green Pass” with regard to its logic, and concludes with a reflection on the program of the instrument's future developments.

The “Green Pass” put into practice a model of a society of control as anticipated by Deleuze, verified with particular reference to some instances of Luhmann's theory of social systems, and in the perspective of a Foucault's “normalizing society” in the process of definition and affirmation.

The “Green Pass” has been a controversial tool that has caused forms of social discrimination and exclusion and has seriously questioned the architecture of the rule of law. The conceptual paper tries to reflect on the premises and implications of this instrument.

The approach to the problem both in a critical key and according to concepts and theories of the sociology of social systems, cybernetics and continental philosophy.

There are common problems in the identification of uncertain nonlinear systems, nonparametric approximation, state estimation, and automatic control. Dynamic neural network (DNN) approximation can simplify the development of all the aforementioned problems in either continuous or discrete systems. A DNN is represented by a system of differential or recurrent equations defined in the space of vector activation functions with weights and offsets that are functionally associated with the input data.

This study describes the version of the toolbox, that can be used to identify the dynamics of the black box and restore the laws underlying the system using known inputs and outputs. Depending on the completeness of the information, the toolbox allows users to change the DNN structure to suit specific tasks.

The toolbox consists of three main components: user layer, network manager, and network instance. The user layer provides high-level control and monitoring of system performance. The network manager serves as an intermediary between the user layer and the network instance, and allows the user layer to start and stop learning, providing an interface to indirectly access the internal data of the DNN.

Control capability is limited to adjusting a small number of numerical parameters and selecting functional parameters from a predefined list.

The key feature of the toolbox is the possibility of developing an algorithmic semi-automatic selection of activation function parameters based on optimization problem solutions.

The process of elaboration of the symbolic universe leads to important insights into the role of symbols in understanding human reasoning. Symbols become explanatory axes of universal global realities. Myths were constructed on these explanatory paths forming a superstructure of all belief systems with paraconsistent logic for the symbolism and a symbolic syntax. Myths and symbols are to be found in all cultures. Some of the most powerful and influential ones occur in popular culture since these often have the greatest immediate social impact.

Semiotic and logical development of the symbols is in mythical systems. The dissolution of the myth and the degradation of the myth's symbols constitute a long-drawn-out process in modern Western society and wherever s influence reaches. Myth is a story that may contain symbolic elements, but compared to the symbols or images of the exceptional, myth is characterized by a “story.”

Starting from a minimal definition to define myths and propose the following definition: Myth is a traditional tale that relates memorable and exemplary actions of extraordinary personages in prestigious and distant times, and myths have various forms and functions, perhaps some more clearly defined with a signifier than others, and different approaches can be combined for a better understanding of the myths. Dispensing with such simplistic assertions, and starting from a minimal definition to define myth, myth is a traditional tale that relates memorable and exemplary actions of extraordinary personages in prestigious and distant times.

Any symbol F originates in a unit that has two aspects and functions when the unit is restored. Thus, the symbol is rather “for something” than “of something” and the symbolic objects express the objects' correspondence in one unit or hendiadys. One semantic characteristic of symbols is “recognition”. The symbol F reveals a reality by means of the homogenous association of the signifier and significance in the symbol's constitution; although reality is separate, there is a homogeneous relation between the symbolizing and symbolized in symbolization.

We argue that aspects of the Luhmannian strand of systems theory could be mobilized in a crypto-normative way for an immanent critique of certain trends in contemporary social development, especially the growing economic determination of different spheres of life and the formation of sectorial industries – such as healthcare, education, crime control, etc. – with the consequent erosion of the autonomy of these spheres and the progressive exhaustion of social conditions for the exercise of freedom and the experience of difference.

A decisive step in this approach to systems theory lies in the indication of certain “elective affinities” between Luhmann and Adorno, reinforcing the plausibility of an internal connection between these different theoretical conceptions – not their mere instrumental appropriation and external juxtaposition. From this point of view, we argue that aspects of Luhmann's conceptual construction – notably the way the system-environment relationship is thought – hold a strong family resemblance with the Adornian mode of conceiving the subject–object relationship in the speculative key of negative dialectics.

Conceived as a critical model that modulates society's real abstractions toward difference and systemic autonomy, and especially as a critical model that underlines possibilities of reciprocal mediation between system and environment, systems theory seems to emphatically put itself in tension with what, at least in part, could be seen as its other: neoliberal governmentality, the generalization of the commodity form and the instrumentalization of the individual by unilateral systemic imperatives in global capitalism.

Drawing on the work of Niklas Luhmann, the paper argues that technology can be viewed as a self-referential system which is autonomous from both human beings and other function systems of society. The paper aims to develop a philosophy of technology from the work of Niklas Luhmann. To achieve this aim, it draws upon the systems-theory work of Jacques Ellul, a philosopher of technology who focuses on the autonomous potential of technological evolution.

The paper draws on the work of Niklas Luhmann and Jacques Ellul to explore the theme of autonomous technology and what this means for our thinking about technological issues in the twenty-first century. Insights from these two thinkers and researchers working in the Luhmannian sociological tradition are applied to remote work.

The sociological approach of Luhmann, coupled with Ellul's insights into the autonomous nature of technology, can help us develop a systems theory of technology which takes seriously its irreducibility to human functions.

The paper contributes to the growing sociological literature that thematizes the Luhmannian approach to technology, helping us better understand this phenomenon and think in new ways about what technological autonomy means.

The paper brings together the work of Luhmann, Ellul and contemporary researchers to advance a new understanding of technology and technological communication.

Educational sustainability has acknowledged the value of transformation, which offers an opportunity of researching and rethinking how appropriate and successful educational practices in an active learning environment could help prepare students for jobs that do not yet exist. So, to meet the job market needs, it became essential to focus on designing more context-specific programs where interdisciplinary courses are provided. The interdisciplinary courses are based on integrating different disciplines where there is a blur between the borders of the disciplines to shift the focus from structured courses to cooperation with external entities. In addition, the interdisciplinary programs allow students to choose modules from across subjects and encourage cooperation with staff from different departments. Thus, the purpose of this chapter is to present a framework of how transformation in education requires key drivers such as transformational visions, faculty commitments, students' engagement, resources (i.e. curriculum), and external relations to develop the values and competencies that the future professionals will need in the attempt to make decisions aiming at reaching a more sustainable world.