Digital Ecosystems: Optimisation by a distributed intelligence

Author

Briscoe, Gerard ; Wilde, Philippe De

Author_Institution

Dept. of Media & Commun., London Sch. of Econ. & Political Sci., London

fYear

2008

fDate

26-29 Feb. 2008

Firstpage

192

Lastpage

197

Abstract

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.

Keywords

learning (artificial intelligence); neural nets; object-oriented programming; pattern recognition; peer-to-peer computing; software architecture; support vector machines; biological ecosystem; digital ecosystem dynamics; distributed intelligence mechanism; distributed network; ecological dynamic; evolutionary dynamic; neural network; pattern recognition; peer-to-peer network; software component; software service-oriented architecture; support vector machine; Application software; Biological system modeling; Ecosystems; Genetics; Intelligent networks; Learning systems; Machine learning; Neural networks; Pattern recognition; Support vector machines; distributed; ecosystem; evolution; intelligence;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Ecosystems and Technologies, 2008. DEST 2008. 2nd IEEE International Conference on

Conference_Location

Phitsanulok

Print_ISBN

978-1-4244-1489-5

Electronic_ISBN

978-1-4244-1490-1

Type

conf

DOI

10.1109/DEST.2008.4635157

Filename

4635157