Hidden order: how adaptation builds complexity
Hidden order: how adaptation builds complexity
Digital ecosystems: evolving service-orientated architectures
Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems
Modeling adaptive autonomous agents
Artificial Life
Modeling agents and their environment
AOSE'02 Proceedings of the 3rd international conference on Agent-oriented software engineering III
A classification framework of adaptation in multi-agent systems
CIA'06 Proceedings of the 10th international conference on Cooperative Information Agents
Engineering Business Ecosystems Using Environment-Mediated Interactions
Engineering Environment-Mediated Multi-Agent Systems
Business modeling for service ecosystems
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
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The increasing popularity of the "business ecosystem" concept in (business) strategy reflects that it is seen as one way to cope with increasingly dynamic and complex business environments. Nevertheless, the lack of a convincing model of a business ecosystem has led to the development of software which only give organisations a partial aid whilst neglecting their need for adaptation. Research in Multi-Agent Systems has proved to be suitable for modelling interactions among disparate sort of entities such as organisations. On the other hand, natural ecosystems continue to adapt themselves to changes in their dynamic and complex environments. In this paper, we present the Dynamic Agent-based Ecosystem Model. It combines ideas from natural ecosystems and multi-agent systems for business interactions.