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. © 2008 IEEE.
| Original language | English |
|---|---|
| Title of host publication | 2nd IEEE International Conference on Digital Ecosystems and Technologies, 2008 |
| Publisher | IEEE |
| Pages | 192-197 |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-4244-1490-1 |
| ISBN (Print) | 978-1-4244-1489-5 |
| DOIs | |
| Publication status | Published - 2008 |
| Event | 2nd IEEE International Conference on Digital Ecosystems and Technologies - Phitsanulok, Thailand Duration: 26 Feb 2008 → 29 Feb 2008 |
Conference
| Conference | 2nd IEEE International Conference on Digital Ecosystems and Technologies |
|---|---|
| Abbreviated title | DEST 2008 |
| Country/Territory | Thailand |
| City | Phitsanulok |
| Period | 26/02/08 → 29/02/08 |
Keywords
- evolution
- ecosystem
- intelligence
- distributed
- WORLD