Ecological system meets ‘digital ecosystem&#x2019

Our authors tackle the problem of digital ecosystems and the place of humans within them from various vantage points. From conceptual maps of directed human and digital hardware interfacing to analyses of influences digital ecosystems exert on existing social and economic communities–we have still only touched the variety and complexity of human and digital world interplay. However, we believe, and hope the readers of this anthology agree, that it consists of a good representation of areas that need to be addressed and analysed if we are to understand the significance of digital ecosystems.

Springer eBooks, 2021

The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.

Metaphors from biological ecosystems emerge in a wide range of leading computing areas and applications of digital ecosystems. The diversified use of these metaphors in different application domains of digital ecosystems varies between computing areas and shapes their interventions. This paper reviews these application interventions of various computing areas as a qualitative approach to outline a roadmap of digital ecosystems from a metaphor towards a mature scientific paradigm. This roadmap is illustrated through five propositions to current practice. The proposed roadmap envisions digital ecosystems as a collaborative coordination environment and platform for computing interventions.

''It is hard to realize that the living world as we know it is just one among many possibilities'' [1]. Evolving digital ecological networks are webs of interacting, selfreplicating, and evolving computer programs (i.e., digital organisms) that experience the same major ecological interactions as biological organisms (e.g., competition, predation, parasitism, and mutualism). Despite being computational, these programs evolve quickly in an open-ended way, and starting from only one or two ancestral organisms, the formation of ecological networks can be observed in real-time by tracking interactions between the constantly evolving organism phenotypes. These phenotypes may be defined by combinations of logical computations (hereafter tasks) that digital organisms perform and by expressed behaviors that have evolved. The types and outcomes of interactions between phenotypes are determined by task overlap for logicdefined phenotypes and by responses to encounters in the case of behavioral phenotypes. Biologists use these evolving networks to study active and fundamental topics within evolutionary ecology (e.g., the extent to which the architecture of multispecies networks shape coevolutionary outcomes, and the processes involved). This is a ''Topic Page'' article for PLOS Computational Biology.

2009

In this paper we explore the concept of ldquoecosystemrdquo as a metaphor in the development of the digital economy. We argue that the modelling of social ecosystems as self-organising systems is also relevant to the study of digital ecosystems. Specifically, that centralised control structures in digital ecosystems militate against emergence of innovation and adaptive response to pressures or shocks that may impact the ecosystem. We hope the paper will stimulate a more holistic approach to gaining empirical and theoretical understanding of digital ecosystems.

Information Technology for Development, 2016

Nexo Revista Científica

In the era of digitalization of the global economy, companies are beginning to create their digital platforms and digital ecosystems, transferring the main activities of the company to the digital environment to maintain global competitiveness. The study of the patterns and principles of the development of digital ecosystems is relevant for business from the point of view of creating its peculiar sustainable competitive advantage. The object of the study is digital ecosystems. The subject of the study is the features and trends of the development of digital ecosystems in the modern economy. The purpose of this work is to identify patterns of development of digital ecosystems and make recommendations for companies that want to create their digital ecosystems. The study of annual reports, conducting in-depth interviews and statistical analysis of the stock price allowed us to achieve the set purpose. The results of the study will be useful for representatives of traditional companies ...

Digital Ecology, 2025

This sample chapter describes what digital ecology is. It is part of: Walker MD. Digital Ecology: How technology is changing the ecological and wildlife sciences. Sicklebrook publishing, Sheffield, UK, 2025.