Emergence phenomena in self-organizing systems: a systematic literature review of concepts, researches, and future prospects

Kalantari, Somayeh; Nazemi, Eslam; Masoumi, Behrooz

doi:10.1080/10919392.2020.1748977

Cited by 23 publications

(13 citation statements)

References 101 publications

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“…In addition, viability can explain the existence of the "human factor" and the appearance of failures in digital ecosystems (Johnson, 2006;Kalantari, 2020;Protasenko et al, 2021).…”

Section: Features Of Man-machine Interaction In the Digital Ecosystemmentioning

confidence: 99%

Human Factors: The Problem of Man-Machine Interaction Under the Digitalization Conditions

Protasenko

Mygal

2022

SJPU

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The main attribute of a modern labour paradigm is a new type of man-machine interaction – the digital ecosystem. However, despite the improvement of man-machine interaction, the human factor remains the most difficult issue in ensuring the safety of such systems. Moreover, the digitalization process complicated the problem of the human factors because it led to a decline of the human’s subjective responsibility for the actions performed because of a significant increase in the share of artificial intelligence in decision-making. As a result, the number of accidents in recent years has decreased but insignificantly. In most cases, the research methods of the human factor are focused on environmental and technical problems of the system functioning, leaving a human unattended. In this regard, the research aims at the peculiarities of human activity in the digital ecosystem. The research was carried out in two directions. The first one is the study of human needs in the digital ecosystem, due to which it was established that a person needs digital safety. This need determined the emergence of a new phenomenon – the safety culture in the digital space. The second direction is the study of the person’s resources. The study of this issue showed that the “cycle” of resources and, in particular, its balanced affects the manifestation of the “human factors” phenomenon.

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“…In addition, viability can explain the existence of the "human factor" and the appearance of failures in digital ecosystems (Johnson, 2006;Kalantari, 2020;Protasenko et al, 2021).…”

Section: Features Of Man-machine Interaction In the Digital Ecosystemmentioning

confidence: 99%

Human Factors: The Problem of Man-Machine Interaction Under the Digitalization Conditions

Protasenko

Mygal

2022

SJPU

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“…The intended meaning of macroprograms, and hence the ultimate goal of macroprogramming, seems to be related to the notion of emergence (Holland, 1998;Wolf and Holvoet, 2004;Gignoux et al, 2017;Kalantari et al, 2020). In (Gignoux et al, 2017), the authors use graph theory to provide formal definitions of macroscopic states and microscopic states, and characterise emergence by analysing the general relationships between microscopic and macroscopic states.…”

Section: On Micro-macro and Local-global Distinctionmentioning

confidence: 99%

Macroprogramming: Concepts, State of the Art, and Opportunities of Macroscopic Behaviour Modelling

Casadei¹

2022

Preprint

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Macroprogramming refers to the theory and practice of conveniently expressing the macro(scopic) behaviour of a system using a single program. Macroprogramming approaches are motivated by the need of effectively capturing global/system-level aspects and the collective behaviour of a set of interacting components, while abstracting over low-level details. In the past, this style of programming has been primarily adopted to describe the data-processing logic in wireless sensor networks; recently, research forums on spatial computing, collective adaptive systems, and Internet-of-Things have provided renewed interest in macro-approaches. However, related contributions are still fragmented and lacking conceptual consistency. Therefore, to foster principled research, an integrated view of the field is provided, together with opportunities and challenges.

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“…11,12 When all its aspects are considered together-its highly complex supply chains, business models, wide range of stakeholders, interactions of molecules with products, humans, and the environment-chemistry becomes an example of a complex dynamic interacting system, a class of problems that are not amenable to classical reductionist solutions. 13,14 Finding chemical solutions with positive impacts toward sustainability depends on making chemical data more transparent and available for decision-support tools that are suitable for addressing complex problems, including emerging tools from the field of artificial intelligence (AI) and digitalization. There is an ongoing development in the discourse on potential positive and negative implications of digitalization approaches.…”

Section: The Bigger Picturementioning

confidence: 99%

Transition to sustainable chemistry through digitalization

Fantke

Cinquemani²,

Yaseneva

et al. 2021

Chem

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Emergence phenomena in self-organizing systems: a systematic literature review of concepts, researches, and future prospects

Cited by 23 publications

References 101 publications

Human Factors: The Problem of Man-Machine Interaction Under the Digitalization Conditions

Human Factors: The Problem of Man-Machine Interaction Under the Digitalization Conditions

Macroprogramming: Concepts, State of the Art, and Opportunities of Macroscopic Behaviour Modelling

Transition to sustainable chemistry through digitalization

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