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
Readings in qualitative reasoning about physical systems
Readings in qualitative reasoning about physical systems
Qualitative physics: past present and future
Readings in qualitative reasoning about physical systems
Compositional modeling: finding the right model for the job
Artificial Intelligence - Special issue: Qualitative reasoning about physical systems II
Artificial Intelligence - Special issue: Qualitative reasoning about physical systems II
Model formulation as a problem-solving task: computer-assisted engineering modeling
Knowledge acquisition as modeling
Automated model selection for simulation
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Automated modeling for answering prediction questions: selecting the time scale and system boundary
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Automated modeling of complex systems to answer prediction questions
Automated modeling of complex systems to answer prediction questions
Automated modelling of physical systems
Automated modelling of physical systems
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In this paper, we present an approach to automated modelling ofphysiological processes occurring during postharvest distribution ofagricultural products. The approach involves reasoning about the reuse ofboth qualitative and mathematical models for physiological processes, andconstructs quantitative simulation models for the postharvest behaviour ofagricultural products. The qualitative models are used to bridge the gapbetween the modeller‘s knowledge about the physiological phenomenon and themathematical models. The qualitative models are represented byknowledge graphs, that are conceptual graphs containing only causalrelations, aggregation relations, and generalisation relations betweendomain quantities. The relationships between the mathematical models and thequalitative models are explicitly represented in application frames.The automated modelling task consists of two subtasks.In the first subtask, Qualitative Process Analysis, a processstructure graph is constructed using the qualitative models as buildingblocks. The process structure graph is a qualitative description of thephenomenon under study, that contains the processes that are responsiblefor the behaviour of the phenomenon. The process structure graph servesas a focus for the second subtask, Simulation Model Construction.This subtask uses a library of mathematical models to compose aquantitative simulation model that corresponds to the process structuregraph constructed in the first subtask.The approach is illustrated with the construction of a model for theoccurrence of chilling injury in bell peppers.