Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Temporal reasoning in artificial intelligence
Exploring artificial intelligence
Semantic Granularity in Ontology-Driven Geographic Information Systems
Annals of Mathematics and Artificial Intelligence
Spatio-Temporal Geographic Information Systems: A Causal Perspective
ADBIS '02 Proceedings of the 6th East European Conference on Advances in Databases and Information Systems
Ontologies in amine platform: structures and processes
ICCS'06 Proceedings of the 14th international conference on Conceptual Structures: inspiration and Application
AICT'11 Proceedings of the 2nd international conference on Applied informatics and computing theory
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In this paper we propose an agent-based geosimulation approach to support a "what if" analysis of COAs in virtual geographic environments. An innovative part of our approach is the use of the agent-based simulation (ABS) paradigm to support qualitative reasoning about dynamic geographical phenomena. In fact, the use of ABS to experiment geographical phenomena is still in its infancy. Another innovative part of our approach is the combination of agent-based geosimulation and Qualitative Simulation techniques to simulate these dynamic geographical phenomena. We illustrate this approach with a prototype of a decision support system called MAGS-COA.