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PODS '99 Proceedings of the eighteenth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
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SIGMOD '85 Proceedings of the 1985 ACM SIGMOD international conference on Management of data
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
R-trees: a dynamic index structure for spatial searching
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Moving Objects Databases: Issues and Solutions
SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
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MDM '02 Proceedings of the Third International Conference on Mobile Data Management
Supporting frequent updates in R-trees: a bottom-up approach
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
A Software Infrastructure for Multi-agent Geosimulation Applications
ICCSA '08 Proceeding sof the international conference on Computational Science and Its Applications, Part I
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A comparison of evolutionary algorithms for automatic calibration of constrained cellular automata
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Parallel simulation of urban dynamics on the GPU
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Cellular automata simulation of urban dynamics through GPGPU
The Journal of Supercomputing
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In this paper we present the general-purpose simulation infrastructure MAGI, with features and computational strategies particularly relevant for strongly geo-spatially oriented simulations. Its main characteristics are (1) a comprehensive approach to geosimulation modelling, with a flexible underlying meta-model formally generalising a variety of types of models, both from the cellular automata and from the agent-based family of models, (2) tight interoperability between GIS and the modelling environment, (3) computationally efficiency and (4) user-friendliness. Both raster and vector representation of simulated entities are allowed and managed with efficiency, which is obtained through the integration of a geometry engine implementing a core set of operations on spatial data through robust geometric algorithms, and an efficient spatial indexing strategy for moving agents. We furthermore present three test-case applications to discuss its efficiency, to present a standard operational modelling workflow within the simulation environment and to briefly illustrate its look-and-feel.