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Entropy-Based Complexity Measure for the Evolution-Based Self-Organisation of Agent Populations
| Content Provider | Semantic Scholar |
|---|---|
| Author | Petrou, Maria Briscoe, Gerard |
| Copyright Year | 2004 |
| Abstract | The specific objective is to provide a performance measure for the organisation of the DBE services(modelled as agents) into applications(service-chains) in the DBE. A definition for self-organisation, based on statistical physics, is studied for evolving DBE service populations. The measure calculates the entropy in the population to determine the randomness, which is then used in determining the organisational complexity. An efficiency measure is then presented for the organisational complexity present, relative to the maximum possible in the population, which is useful for detecting clustering. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.lse.ac.uk/media@lse/research/DBE/Del_6.1_DBE_Self-OrganisationInMulti-AgentSystems.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |