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. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Brimicombe, A. J., Li, Y., Al-Zakwani, A., & Li, C. (2009). Agent-based distributed component services in spatial modeling. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5592 LNCS, pp. 300–312). https://doi.org/10.1007/978-3-642-02454-2_21
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