Computer Science – Neural and Evolutionary Computing
Scientific paper
2007-12-26
Computer Science
Neural and Evolutionary Computing
12 pages, 14 figures, conference
Scientific paper
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 and Support Vector Machine 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 Support Vector Machine than Neural Networks, and suggest that it can contribute to optimising the operation of our Digital Ecosystem.
Briscoe Gerard
Wilde Philippe de
No associations
LandOfFree
Digital Ecosystems: Optimisation by a Distributed Intelligence does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Digital Ecosystems: Optimisation by a Distributed Intelligence, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Digital Ecosystems: Optimisation by a Distributed Intelligence will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-476831