• DocumentCode
    3507442
  • 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
  • fYear
    2010
  • fDate
    4-6 Nov. 2010
  • Firstpage
    357
  • Lastpage
    362
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/3PGCIC.2010.59
  • Filename
    5662763