Research Output

Peer-to-peer networks for scalable grid landscapes in social agent simulations.

  Recently, peer-to-peer networks have been proposed as the underlying architecture of large scale distributed
social agent simulations. A number of problems arise when grid landscapes are used to represent
the landscape in these simulations, primarily because, in a peer-to-peer network, the landscape has
to be handled collectively by the nodes of the network. Two basic agent actions are identified as central
to these problems: look and move. A solution to these problems is provided in which the network
maintains a move-buffer and a look-index. Both solutions are configurable by the user of the simulation
and provide a trade-off between the scalability of the system, the consistency of the information
stored in the system, and the efficiency of the system.

  • Type:

    Book Chapter

  • Date:

    30 November 2004

  • Publication Status:

    Published

  • Publisher

    The Society for the Study of Artificial Intelligence and the

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    004 Data processing & computer science

Citation

Craenen, B. G. W. & Paechter, B. (2004). Peer-to-peer networks for scalable grid landscapes in social agent simulations. In Proceedings of the Artificial Intelligence and Social Behaviour Convention (AISB) 2005, 64-71. The Society for the Study of Artificial Intelligence and the. ISBN 1 902956 48 4

Authors

Keywords

peer-to-peer networks; landscapes; simulations; virtual environments; move buffer; look index; scalability;

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