The Navigability of strong ties: small worlds, tie strength, and network topology
Complexity - Special issue: Selection, tinkering, and emergence in complex networks
Causal architecture, complexity and self-organization in time series and cellular automata
Causal architecture, complexity and self-organization in time series and cellular automata
Introduction: Service-oriented computing
Communications of the ACM - Service-oriented computing
Service -Oriented Computing: Concepts, Characteristics and Directions
WISE '03 Proceedings of the Fourth International Conference on Web Information Systems Engineering
Second generation web services-oriented architecture in production in the finance industry
OOPSLA '04 Companion to the 19th annual ACM SIGPLAN conference on Object-oriented programming systems, languages, and applications
Enterprise SOA: Service-Oriented Architecture Best Practices (The Coad Series)
Enterprise SOA: Service-Oriented Architecture Best Practices (The Coad Series)
Digital ecosystems: evolving service-orientated architectures
Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems
Web services and business process management
IBM Systems Journal
Introduction to semantic web services and web process composition
SWSWPC'04 Proceedings of the First international conference on Semantic Web Services and Web Process Composition
Mobile software agents: an overview
IEEE Communications Magazine
Digital Ecosystems: Ecosystem-Oriented Architectures
Natural Computing: an international journal
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A primary motivation this research in digital ecosystems is the desire to exploit the self-organising properties of biological ecosystems. Ecosystems are thought to be robust, scalable architectures that can automatically solve complex and dynamic problems. However, the computing technologies that contribute to these properties have not been made explicit in digital ecosystems research. In this paper, the authors discuss how different computing technologies can contribute to providing the necessary self-organising features, including Multi-Agent Systems MASs, Service-Oriented Architectures SOAs, and distributed evolutionary computing DEC. The potential for exploiting these properties in digital ecosystems is considered, suggesting how several key features of biological ecosystems can be exploited in Digital Ecosystems, and discussing how mimicking these features may assist in developing robust, scalable self-organising architectures. An example architecture, the Digital Ecosystem, is considered in detail. The Digital Ecosystem is then measured experimentally through simulations, which consider the self-organised diversity of its evolving agent populations relative to the user request behaviour.