Qualitative System Identification from Imperfect Data

• Published in: arXiv.org
• Main Authors: Coghill, George M, King, Ross D, Srinivasan, Ashwin
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 31.10.2011
• Subjects: Biological models (mathematics); Complex systems; Computer Science - Artificial Intelligence; Differential equations; Glycolysis; Identification; Logic programming; Parameter estimation; Parameter identification; Physical sciences; Qualitative analysis; System identification

Experience in the physical sciences suggests that the only realistic means of understanding complex systems is through the use of mathematical models. Typically, this has come to mean the identification of quantitative models expressed as differential equations. Quantitative modelling works best whe...