2005 | OriginalPaper | Buchkapitel
An Agent-Oriented Conceptual Framework for Systems Biology
verfasst von : Nicola Cannata, Flavio Corradini, Emanuela Merelli, Andrea Omicini, Alessandro Ricci
Erschienen in: Transactions on Computational Systems Biology III
Verlag: Springer Berlin Heidelberg
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Recently, a collective effort from multiple research areas has been made to understand biological systems at the system level. On the one hand, for instance, researchers working on
systems biology
aim at understanding how living systems routinely perform complex tasks. On the other hand, bioscientists involved in pharmacogenomics strive to study how an individual’s genetic inheritance affects the body’s response to drugs. Among the many things, research in the above disciplines requires the ability to simulate particular biological systems as cells, organs, organisms and communities. When observed according to the perspective of system simulation, biological systems are complex ones, and consist of a set of components interacting with each other and with an external (dynamic) environment.
In this work, we propose an alternative way to specify and model complex systems based on behavioral modelling. We consider a biological system as a set of active computational components interacting in a dynamic and often unpredictable environment. Then, we propose a
conceptual framework
for engineering computational systems simulating the behaviour of biological systems, and modelling them in terms of
agents
and
agent societies
.