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

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

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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.

Item Type: Book Section
ISBN: 1 902956 48 4
Additional Information: The NewTies project is partially supported by the European Commission Framework 6 Future and Emerging Technologies programme under contract 003752. Opinions are the authors’ own and do not represent those of the Commission. The ideas in this paper have greatly benefited from interaction with the partners in the project (Vereniging voor Christelijk Wetenschappelijk Onderwijs; E¨otv¨os Lor´and University; Napier University; University of Surrey and Stichting Katholieke Universiteit Brabant). Paper presented at AISB’05 Convention Social Intelligence and Interaction in Animals, Robots and Agents 12-15 April 2005 University of Hertfordshire, Hatfield, UK
Uncontrolled Keywords: peer-to-peer networks; landscapes; simulations; virtual environments; move buffer; look index; scalability;
University Divisions/Research Centres: Faculty of Engineering, Computing and Creative Industries > School of Computing
Dewey Decimal Subjects: 000 Computer science, information & general works > 000 Computer science, knowledge & systems > 004 Data processing & computer science
Library of Congress Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Item ID: 3395
Depositing User: Computing Research
Date Deposited: 28 Apr 2010 13:50
Last Modified: 15 Feb 2011 12:50

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