Complex Adaptive Digital EcoSystems

TL;DR

This paper develops a conceptual framework for Digital Ecosystems based on Complex Adaptive Systems principles, aiming to unify diverse research efforts across disciplines.

Contribution

It introduces a theoretical framework that facilitates cross-disciplinary collaboration and unifies various perspectives within Digital Ecosystems research.

Findings

Proposes a universal CAS-based framework for Digital Ecosystems

Defines key steps for a unifying theoretical edifice

Supports cross-disciplinary research collaboration

Abstract

We investigate an abstract conceptualisation of DigitalEcosystems from a computer science perspective. We then provide a conceptual framework for the cross pollination of ideas, concepts and understanding between different classes of ecosystems through the universally applicable principles of Complex Adaptive Systems (CAS) modelling. A framework to assist the cross-disciplinary collaboration of research into Digital Ecosystems, including Digital BusinessEcosystems (DBEs) and Digital Knowledge Ecosystems (DKEs). So, we have defined the key steps towards a theoretical framework for Digital Ecosystems, that is compatible with the diverse theoretical views prevalent. Therefore, a theoretical edifice that can unify the diverse efforts within Digital Ecosystems research.