English

Complex Adaptive Digital EcoSystems

Multiagent Systems 2011-05-10 v1

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.

Keywords

Cite

@article{arxiv.1105.1564,
  title  = {Complex Adaptive Digital EcoSystems},
  author = {Gerard Briscoe},
  journal= {arXiv preprint arXiv:1105.1564},
  year   = {2011}
}

Comments

8 pages, 12 figures, conference

R2 v1 2026-06-21T18:04:19.207Z