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Describes a functional‐structural scheme of cybernetic or control systems. Analyses, from the evolutionary point of view, some fundamental problems of evolutionary cybernetics (EC) or Evolutionary Cybernetic Systems Theory (ECST). Discusses Norbert Wiener’s cardinal idea that information is a measure of order in contrast with entropy (of thermodynamics) as a measure of disorder, and that, therefore, control, communication and other phenomena of informational nature are means, ways, forms, methods and manifestations of cybernetic systems’ struggle against their (internal) physical entropy, this peculiar character of such systems being expressed in their principal structures and functions.

In rhythmanalysis, energy is positioned centre stage in defining what rhythm is and how it manifests: everywhere where there is interaction between a place, a time and an expenditure of energy there is rhythm (Lefebvre, 1992/2004, p. 15). However, there is no further explication and little engagement in subsequent scholarship. I discuss this absence and propose a thermodynamic, materialist understanding of the energy in rhythm, linking to Lefebvre's interest in physics-thinking, and to his and Régulier's commitment to a multi-disciplinary rhythmanalytic project. I consider the polyrhythmic interweaving of energy flows in everyday life and the relationship between the techno-energy of energy systems, and the ‘natural’ energetic exchanges of planetary movements, ecological processes and organism functioning, including human bodies. I outline how an energetically oriented, multi-disciplinary rhythmanalysis can be applied to the climate crisis, to its arrhythmic consequences as well as to its making and mitigation in the rhythms of society and economy. I then focus on the rhythm energies of urban life and the challenges of transitioning urban mobility away from the domination of hydrocarbon-powered automobility systems. The polyrhythmic structure of urban automobility is characterised, encompassing rhythms of fuel supply, fuelling, vehicle movement and pollution generation. The rhythm-energetic shifts involved in moving to shared public transport, electric rather than hydrocarbon powered vehicles and to the corporeal, calorie-fuelled rhythms of walking and cycling are laid out, considering what they change, what they retain and what they add to the polyrhythmia of urban mobility.

This paper aims to make the case for continued opportunity for high levels of human well-being under descent conditions characterised by declining economic throughput and socio-political complexity.

Relationships between assumptions about human well-being formed within a modern industrial context, the guiding narratives attending these, and the broader cultural influence of ideas from the evolutionary sciences are examined. Alternative ways of making sense of these relationships are explored. The experiences of societies guided by cultural narratives based on different premises to those most influential in industrial societies are reviewed for their implications for human well-being under descent conditions.

Human experiences of well-being are principally a function of the sources of meaning and associated narratives by which members of a culture make sense of their situation, as these determine the nature of the material and energetic conditions required to live well. Under descent conditions, the narrative of progress that has supported viable societies during the 300-year period of industrial expansion is unlikely to continue serving humanity well. Collective participation in the renewal of guiding cultural narratives is a primary target for efforts to provide continued opportunities for high quality of life to all members of humanity.

The findings point towards specific characteristics of cultural sense-making narratives that may support viable human societies under descent conditions.

By moving beyond the default assumption that descent automatically implies decline in human well-being, a barrier may be lowered to more open and mature society-wide engagement in conversations about the present human predicament and effective ways of responding to it.

New connections are identified between perspectives based on biological evolutionary theory and the continued influence of the idea of progress in establishing default assumptions about prospects for human well-being under descent conditions. Experiences of non-industrial societies are taken as the basis for identifying opportunities for human well-being under far more modest material and energetic conditions than those available to the portion of humanity that presently enjoys benefits of industrial development that outweigh the attendant costs.

Investigates the enigmatic phenomenon of information from the two major perspectives of modern cybernetics: the negentropic and the evolutionary. Discusses the meaning of this phenomenon, considering it, ultimately, as the means of combating entropy within cybernetic or control systems which create or receive, process, stock, and use information, eventually with the purpose of regulating their matter‐energy fluxes necessary for struggling against inner entropy. Discusses the sense of information as relating to thermodynamical entropy in a philosophical manner and not in some formal (mathematical) language.

One of the defining characteristics of industrial capitalism is the rapid expansion of social production. This expansion requires increased use of matter and energy. Society cannot create either matter or energy, so industrial expansion in one place means that matter and energy must be extracted and transported from other places. Because social production expands through both new technologies and new products, industrial growth requires not only greater amounts, but also an increasing variety of material and energetic forms. Because these different forms of matter and energy are found in limited quantities in different parts of the world, expansion, technological innovations, and product differentiation in productive economies entail the frequent relocation of extractive economies, either because they have depleted the natural resources on which they depend or because new technologies have shifted the market. Regions which depend on exporting extracted natural resources are therefore likely to suffer from severe fluctuations in income. Capital sunk in extractive infrastructure may devalue radically. These problems limit their capacity for sustained development. Nonetheless, resource extraction figures prominently in the economic plans of many lessdeveloped nations. A growing literature addresses the economic or the political pitfalls that beset extractive economies. This essay explores their ecological roots.

The synthesis of cybernetics and general systems theory makes it possible to formulate the concept of cybernetic evolution, considered as the higher stage of an anti‐entropic evolution universe. In this broad framework, it is possible to draw epistemological conclusions and implications. These concern the essence of cognition and knowledge, and directedness and the main stages of epistemic evolution, as well as classes and forms of cognitive mechanisms and processes. The three stages of cognition, the biological, the sociological or societal, and the technological, are discussed.

The paper is based on the idea that management of a national economy is a complex cybernetic system. By considering the Romanian economy the author postulates that the relations between socio‐economic macro‐systems should be expressed in terms of national income. On the basis of the model thus established future developments in various macro‐systems are predicted, e.g. in production, technology, population, labour force, etc. The author then describes a system for the prognosis of social and economic developments in Romania up to the year 2000. In order to achieve this object a Control Commission for Prognosis has been established under the chairmanship of Mr. Nicolae Ceauşescu, the President of Romania.

Mathematical models are constructed at the interface between practice, experience and theories. The function of models puts us on guard against the privilege granted to what is accepted as abstract and formal, and at the same time puts us on guard against a static and phenomenological conception of knowledge. The epistemology of models does not suppress in any way the objectives of science: only, a dogmatic conception concerning truth is removed, and dynamic and dialectical aspects of monitoring are stressed to establish the most viable model. The purpose of this paper is to examine hybrid methodologies (inductive-deductive) that may either propose hypothetical causal relations and seek support for them in field data or detect causal relations in field data and propose hypotheses for the relations detected.

The authors follow a dialectical analysis for a type of inductive-deductive model.

In this work, the authors present an inductive-deductive methodology whose practical result satisfies the Hegelian dialectic. The consequent implication of their mutual reciprocal integration produces abstractions from the concrete that enable thought. The real problem in this case is a given ontological system or reality.

The essential elements of the models – variables, equations, simulation and feedback – are studied using a dialectic Hegelian theory.

The original powder commonly used for laser 3D printing is atomized alloy powder. The purpose of this study is to investigate the effect of ball milling (BM) on the structure and performances of the alloy powder and its composite products.

BM powder of Ni-Cr-graphite elements was subjected to laser cladding forming and the effect of BM on the powder structure was studied by X-ray diffraction, metallographic microscopy and scanning electron microscopy. The laser cladding-formed coatings were also tested by reciprocating friction measures and electrochemical corrosion experiment.

The results showed that the grains of laser cladding-formed Cr3C2-NiCr coating of BM powder were more refined compared to the coating of the atomized powder. Moreover, the abrasion resistance and corrosion resistance were slightly improved.

This work offers guidance for new original powder selection for laser 3D printing/powder bed forming/selective laser melting applications.

Neurostrategy is an abductive decision-making process developed from the knowledge generated within the network of decision-makers. It links cognitive style with the team's decisional adaptability in relation to the organization's purpose. Neurostrategy differs from traditional methods, in which it addresses negative utility or decisional trauma, highlighting the variety of interests that are the main cause of team misalignment and allowing for the development of strategies to address them. Neurostrategy enables the classification of strategy deficiencies based on cohesion, coordination, communication and conduction (Co4).

This paper introduces a novel approach called relational neurostrategy (RNS) to elucidate the knowledge processes influencing decision-making. RNS aims to “capture” the intricate processes guiding decisions, enabling the network's decisional plasticity in both forms and contents. This adaptability is crucial for effectively addressing posed challenges, while simultaneously mitigating the impact of diverse interests. The methodology also ensures transparency in the decision-making process and generates an effective solution strategy.

The RNS addresses two critical aspects of the decision-making process. Firstly, it reduces unnecessary variety stemming from multiple interpretations and secondly, it minimizes the adverse impact of diverse interests within the decision-making network. This approach results in strong and credible decisions that reflect the collective intelligence, cooperation and collaborative efforts of the network, rather than being imposed as absolute truths.

The RNS stands out as a distinctive decision-making method, setting itself apart from existing approaches. Its uniqueness becomes evident in its ability to address the question “what prevents the authors from … ?” from this inquiry, RNS successfully integrates unrequired variety and negative utility. By doing so, it strategically narrows down the search field to the universe of distinctions that truly constitute the problem. This innovative process not only enhances efficiency but also fosters a high level of participation in the strategic design of potential solutions. In essence, RNS brings unprecedented value by effectively navigating the intricacies of decision-making and maximizing the relevance of the identified problem space.