A qualitative physics based on confluences
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Constraint propagation with interval labels
Artificial Intelligence
Constraint satisfaction in logic programming
Constraint satisfaction in logic programming
Building industrial applications with constraint programming
Constraints in computational logics
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This paper presents LOGISIM, a CAD tool to simulate the temporal behaviour of hybrid circuits containing electro-mechanical, electro-hydraulic, hydro-mechanic, and digital control devices. LOGISIM combines the advantages of both qualitative and quantitative reasoning by producing a high-level description (discrete states) of the circuit behaviour while reasoning at the quantitative level (physical values). In addition, device models in LOGISIM follow a particular description methodology proposed to avoid introducing an artificial computational complexity in the simulation. LOGISIM is fully implemented in the constraint logic programming language CHIP. The constraint-solving techniques of CHIP used in LOGISIM, i.e. an incremental decision procedure for linear constraints over rational numbers, consistency techniques on domain-variables and conditional propagation, are all necessary to solve the problem efficiently. LOGISIM has been applied successfully to real-life industrial circuits from aerospace industry in the ELSA project and clearly demonstrates the potential of this kind of tool to support the design process for these circuits.