Agent-Based Distributed Component Services in Spatial Modeling

  • Authors:

  • Allan J. Brimicombe;Yang Li;Abdullah Al-Zakwani;Chao Li

  • Affiliations:

  • Centre for Geo-Information Studies, University of East London, London, UK E16 2RD;Centre for Geo-Information Studies, University of East London, London, UK E16 2RD;Centre for Geo-Information Studies, University of East London, London, UK E16 2RD;Centre for Advanced Spatial Analysis, University College London, London, UK WC1E 7HB

  • Venue:
  • ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part I
  • Year:
  • 2009

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Abstract

Agent technologies have been increasingly applied to spatial simulation and modeling in silico . Where multi-agent systems have been used for spatial simulation, agents have tended to be deployed as spatial objects in order to study emergent patterns from micro-level behaviors. Many of these applications only deploy a weak notion of agency. More recently, the concept has emerged in the spatial domain that agents can be deployed as services to assist in complex modeling tasks. Agent-based distributed component services bring a stronger notion of agency to spatial modeling and are particularly suited to achieving interoperability in heterogeneous computational environments. Two case studies are presented. In the first, agent-based services are deployed over a network for spatial data quality analysis. In the second, a variogram agent component is used to demonstrate how a collaborating multi-agent system can provide intelligent, autonomous services to carry out complex operations.