A qualitative physics based on confluences
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Artificial Intelligence
Qualitative physics: past, present, and future
Exploring artificial intelligence
Compositional modeling: finding the right model for the job
Artificial Intelligence - Special issue: Qualitative reasoning about physical systems II
Modeling Biological Systems: Principles and Applications
Modeling Biological Systems: Principles and Applications
Qualitative Models of Interactions between Two Populations
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
The Ants' Garden: Complex interactions between populations and the scalability of qualitative models
AI Communications - Binding Environmental Sciences and AI
An interactive environment for the modeling and discovery of scientific knowledge
International Journal of Human-Computer Studies
Integrating Domain Knowledge in Equation Discovery
Computational Discovery of Scientific Knowledge
OWL and qualitative reasoning models
KI'06 Proceedings of the 29th annual German conference on Artificial intelligence
Computers and Industrial Engineering
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Traditional approaches to ecological modeling, based on mathematical equations, are hampered by the qualitative nature of ecological knowledge. In this article, we demonstrate that qualitative reasoning provides alternative and productive ways for ecologists to develop, organize, and implement models. We present a qualitative theory of population dynamics and use this theory to capture and simulate commonsense theories about population and community ecology. Advantages of this approach include the possibility of deriving relevant conclusions about ecological systems without numeric data; a compositional approach that enables the reusability of models representing partial behavior; the use of a rich vocabulary describing objects, situations, relations, and mechanisms of change; and the capability to provide causal interpretations of system behavior.