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Evolution-generated communications in digital business ecosystem

Wang, J., De Wilde, Philippe (2008) Evolution-generated communications in digital business ecosystem. In: 2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008. . pp. 618-623. IEEE ISBN 978-1-4244-1673-8. (doi:10.1109/ICCIS.2008.4670899) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:58028)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
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This paper discusses a new approach to model a complex evolving system, a Digital Business Ecosystem (DBE). We present a geography-based two coupled networks model. The upper layer is the business network layer regarded as an information ecosystem with multiple evolving agents. The lower layer is the underlying P2P communication layer to support communications. The two networks in the system are modelled as evolving over time and interacting with each other. In the business ecosystem, agents exchange services with each other. Through evolution processes, fit services reproduce and weak services die out. We study how these evolution-generated communications affect the topologies of both the business network and the underlying communication network and also system performance. We provide the details of the discrete event simulation and discusses the experimental results. The approach in this paper can be applied to model and analyze other complex real-world applications as our previous work 1.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/ICCIS.2008.4670899
Uncontrolled keywords: Agents; Control theory; Cybernetics; Discrete event simulation; Ecology; Ecosystems; Intelligent control; Intelligent systems, Agent-based modeling; Business ecosystem; Business networks; Communication networks; Coupled networks; Digital business ecosystems; Discrete events; Evolution processes; Evolutionary communications; Evolving systems; Information ecosystems; New approaches; P2p communications; System performances; Upper layers, Communication
Subjects: H Social Sciences > HF Commerce
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Philippe De Wilde
Date Deposited: 05 Jan 2023 12:10 UTC
Last Modified: 06 Jan 2023 10:28 UTC
Resource URI: (The current URI for this page, for reference purposes)

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