SMT with Uninterpreted Functions and Monotonicity Constraints in Systems Biology
arXiv:2604.07496v1 Announce Type: new Abstract: The theory of uninterpreted functions is a key modeling tool for systems with unknown or abstracted components. Some domains such as systems biology impose further restrictions regarding monotonicity on these components, requiring specific inputs to have a consistently positive or negative effect on the output. In this paper, we tackle the model inference problem for biological systems by applying the theory of uninterpreted functions with monotonicity constraints. We compare the performance of naive […]