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.
Original language | English |
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Title of host publication | 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC) |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 357-362 |
Number of pages | 6 |
ISBN (Print) | 9781424485383 |
DOIs | |
Publication status | Published - 4 Nov 2010 |
Externally published | Yes |
Event | 5th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing - Fukuoka Institute of Technology, Fukuoka, Japan Duration: 4 Nov 2010 → 6 Nov 2010 Conference number: 5 |
Conference
Conference | 5th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing |
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Abbreviated title | 3PGCIC 2010 |
Country/Territory | Japan |
City | Fukuoka |
Period | 4/11/10 → 6/11/10 |