Name
Abstract | ||
|---|---|---|
The vast quantity of data contributed and consumed via the Internet provides an environment where Collective Intelligence (CI) can emerge. This article considers CI in relation to the Peer-to-Peer (P2P) paradigm, an environment that has the necessary conditions for the generation of large data sets through frequent peer interactions. We then examine the characteristics of agency and relate agent computing to the conditions required to facilitate CI in P2P systems. Furthermore, we present a key research challenge for the community and propose an approach to scrutinise CI in a P2P scenario that makes use of local primitive behaviours to infer the likely collective emergent behaviours for a particular system. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1504/IJGUC.2012.051420 | P2P, Parallel, Grid, Cloud and Internet Computing |
Keywords | Field | DocType |
key research challenge,large data set,collective intelligence,p2p scenario,likely collective emergent behaviour,critical dimension,p2p system,agent computing,necessary condition,vast quantity,peer-to-peer network,agency,multi agent system,utility computing | Peer-to-peer,Collective intelligence,Computer science,Knowledge management,Multi-agent system,Utility computing,The Internet,Distributed computing | Journal |
Volume | Issue | ISSN |
3 | 4 | 1741-847X |
ISBN | Citations | PageRank |
978-0-7695-4237-9 | 1 | 0.35 |
References | Authors | |
8 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Richard Hill | 1 | 31 | 5.70 |
| Nick Antonopoulos | 2 | 531 | 48.72 |
| Stuart Berry | 3 | 2 | 1.39 |