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Digital ecosystems: Optimisation by a distributed intelligence

Briscoe, Gerard, De Wilde, Philippe (2008) Digital ecosystems: Optimisation by a distributed intelligence. In: 2008 2nd IEEE International Conference on Digital Ecosystems and Technologies. . pp. 192-197. IEEE ISBN 978-1-4244-1489-5. (doi:10.1109/DEST.2008.4635157) (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:58029)

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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Can intelligence optimise Digital Ecosystems? How could a distributed intelligence interact with the ecosystem dynamics? Can the software components that are part of genetic selection be intelligent in themselves, as in an adaptive technology? We consider the effect of a distributed intelligence mechanism on the evolutionary and ecological dynamics of our Digital Ecosystem, which is the digital counterpart of a biological ecosystem for evolving software services in a distributed network. We investigate Neural Networks (NNs) and Support Vector Machines (SVM) for the learning based pattern recognition functionality of our distributed intelligence. Simulation results imply that the Digital Ecosystem performs better with the application of a distributed intelligence, marginally more effectively when powered by SVM than NNs. These results suggest that a distributed intelligence can contribute to optimising the operation of our Digital Ecosystem.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/DEST.2008.4635157
Uncontrolled keywords: Computer software; Digital arithmetic; Dynamics; Ecology; Feature extraction; Neural networks; Pattern recognition; Support vector machines, Adaptive technologies; Biological ecosystems; Digital counterparts; Digital ecosystems; Distributed; Distributed intelligences; Distributed networks; Ecological dynamics; Ecosystem dynamics; Evolution; Genetic selections; Intelligence; Optimisation; Simulation results; Software components; Software services; Support vectors, Ecosystems
Subjects: Q Science > QA Mathematics (inc Computing science)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Philippe De Wilde
Date Deposited: 05 Jan 2023 11:30 UTC
Last Modified: 06 Jan 2023 11:43 UTC
Resource URI: (The current URI for this page, for reference purposes)

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