Qualitative System Identification from Imperfect Data

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...

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Veröffentlicht in:	The Journal of artificial intelligence research Jg. 32; S. 825 - 877
Hauptverfasser:	Coghill, G. M., Srinivasan, A., King, R. D.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	San Francisco AI Access Foundation 01.01.2008
Schlagworte:	Artificial intelligence Biological models (mathematics) Complex systems Differential equations Glycolysis Identification Logic programming Parameter estimation Parameter identification Physical sciences Qualitative analysis System identification
ISSN:	1076-9757, 1076-9757, 1943-5037
Online-Zugang:	Volltext
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