Title
A Synthon Approach to Artificial Chemistry
Abstract
A coevolutionary model is discussed that incorporates the logical structure of constitutional chemistry and its kinetics on the one hand and the topological evolution of the chemical reaction network on the other hand. The motivation for designing this model is twofold. First, experiments that are to provide insight into chemical problems should be expressed in a syntax that remains as close as possible to real chemistry. Second, the study of physical properties of the complex chemical reaction networks requires growing models that incorporate features realistic from a biochemical perspective. In this article the theory and algorithms underlying the coevolutionary model are explained, and two illustrative examples are provided. These examples show that one needs to be careful in making general claims concerning the structure of chemical reaction networks.
Year
DOI
Venue
2009
10.1162/artl.2009.15.1.15106
Artificial Life
Keywords
DocType
Volume
Molecular graphs,complex networks,reaction generator
Journal
15
Issue
ISSN
Citations 
1
1064-5462
2
PageRank 
References 
Authors
0.47
4
2
Name
Order
Citations
PageRank
Tom Lenaerts127653.44
Hugues Bersini2740150.02