Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Computerization and skill in local weather forecasting
Knowledge, skill and artificial intelligence
Qualitative reasoning: modeling and simulation with incomplete knowledge
Qualitative reasoning: modeling and simulation with incomplete knowledge
Reasoning about Gradual Changes of Topological Relationships
Proceedings of the International Conference GIS - From Space to Territory: Theories and Methods of Spatio-Temporal Reasoning on Theories and Methods of Spatio-Temporal Reasoning in Geographic Space
Qualitative kinematics: a framework
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
Qualitative analysis of distributed physical systems with applications to control synthesis
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Influence-based model decomposition for reasoning about spatially distributed physical systems
Artificial Intelligence
A boundary-sensitive approach to qualitative location
Annals of Mathematics and Artificial Intelligence
Real-World Applications of Qualitative Reasoning
IEEE Expert: Intelligent Systems and Their Applications
``Seeing'' Objects in Spatial Datasets
IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis
Relation-based aggregation: finding objects in large spatial datasets
Intelligent Data Analysis
Multi-agent geosimulation in support to "what if" courses of action analysis
Proceedings of the 1st international conference on Simulation tools and techniques for communications, networks and systems & workshops
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A qualitative model of the spatio-temporal behaviour of distributed parameter systems based on physical fields is presented. Field-based models differ from the object-based models normally used in qualitative physics by treating parameters as continuous entities instead of as attributes of discrete objects. This is especially suitable for natural physical systems, e.g. in ecology. The model is divided into a static and a dynamic part. The static model describes the distribution of each parameter as a qualitative physical field. Composite fields are constructed from intersection models of pairs of fields. The dynamic model describes processes acting on the fields, and qualitative relationships between parameters. Spatio-temporal behaviour is modelIed by interacting temporal processes, influencing single points in space, and spatial processes that gradually spread temporal processes over space. We give an example of a qualitative model of a natural physical system and discuss the ambiguities that arise during simulation.