Title :
Peer-to-Peer Networks and Collective Intelligence: The Case for Agency
Author :
Hill, Richard ; Antonopoulos, Nikos
Author_Institution :
Distrib. & Intell. Syst. Res. Group, Univ. of Derby, Derby, UK
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.
Keywords :
Internet; peer-to-peer computing; software agents; Internet; P2P systems; agent computing; collective intelligence; peer interactions; peer-to-peer networks; peer-to-peer paradigm; Agency; Architecture; Artificial Intelligence; Peer-to-Peer;
Conference_Titel :
P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2010 International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4244-8538-3
Electronic_ISBN :
978-0-7695-4237-9
DOI :
10.1109/3PGCIC.2010.59