Title :
A Change of Perspective Yields Formal Analysis
Author :
Grosu, R. ; Fenton, F. ; Smolka, S. ; Bartocci, E.
Author_Institution :
Dept. of Comput. Sci., Stony Brook Univ., Stony Brook, NY, USA
Abstract :
In this paper we argue that a judicious use of models in science and engineering can considerably simplify the design and analysis of complex dynamic systems. To substantiate this claim, we first review the mathematical form and the role played by models in science and engineering, respectively. We then show that a change in perspective on the purpose of models in the analysis of cardiac tissue, allowed us to derive for the first time, in an automatic fashion, the parameter-ranges distinguishing between normal and abnormal behavior in cardiac cells.
Keywords :
biological tissues; biology computing; cardiology; formal concept analysis; abnormal behavior; cardiac cells; cardiac tissue; complex dynamic system; engineering; formal analysis; mathematical form; science; Automata; Biological system modeling; Computational modeling; Hidden Markov models; Mathematical model; Switches; Analysis; Cardiac Cells; Control; Hybrid Automata; Modeling; Parameter-Range Identification;
Conference_Titel :
Software Engineering Workshop (SEW), 2011 34th IEEE
Conference_Location :
Limerick
Print_ISBN :
978-1-4673-0245-6
DOI :
10.1109/SEW.2011.16