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.
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Brimicombe, A.J., Li, Y., Al-Zakwani, A., Li, C. (2009). Agent-Based Distributed Component Services in Spatial Modeling. In: Gervasi, O., Taniar, D., Murgante, B., Laganà, A., Mun, Y., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2009. ICCSA 2009. Lecture Notes in Computer Science, vol 5592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02454-2_21
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DOI: https://doi.org/10.1007/978-3-642-02454-2_21
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