An Agent-Oriented Conceptual Framework for Systems Biology


Nicola Cannata, Flavio Corradini, Emanuela Merelli, Andrea Omicini, Alessandro Ricci

Emanuela Merelli, Pedro Pablo González Pérez, Andrea Omicini (eds.)
Transactions on Computational Systems Biology III, pages 105–122
Lecture Notes in Computer Science (Transactions on Computational Systems Biology) 3737
Springer
December 2005

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.

Publications

Publication

— authors

Nicola Cannata, Flavio Corradini, Emanuela Merelli, Andrea Omicini, Alessandro Ricci

— editors

— status

published

— sort

paper in proceedings

— publication date

December 2005

— volume

Transactions on Computational Systems Biology III

— series

Lecture Notes in Computer Science / Transactions on Computational Systems Biology

— volume

3737

— pages

105–122

URLs

original page

identifiers

— DOI

10.1007/11599128_8

— ACM

2137829

— Scopus

2-s2.0-34249977077

— WoS / ISI

000234830000008

— print ISSN

0302-9743

— online ISSN

1611-3349

— print ISBN

978-3-540-30883-6

— ISBN–10

3-540-30883-0

notes

— note

4th International Workshop on NETwork Tools and Applications in Biology (NETTAB 2004), Camerino, MC, Italy, September 5-7, 2004. Revised Selected and Invited Papers

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