An Agent-Oriented Conceptual Framework for Systems Biology


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

Transactions on Computational Systems Biology III, pp. 105-122
Lecture Notes in Computer Science 3737, dicembre 2005
Springer
Emanuela Merelli, Pablo Pedro Gonzàlez Perez, Andrea Omicini (a cura di)
4th International Workshop on NETwork Tools and Applications in Biology (NETTAB 2004), Camerino, MC, Italy, September 5-7, 2004. Revised Selected and Invited Papers

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.

 @incollection{bio-tcsbIII,
Author = {Cannata, Nicola and Corradini, Flavio and Merelli, Emanuela and Omicini, Andrea and Ricci, Alessandro},
Booktitle = {Transactions on Computational Systems Biology III},
Doi = {10.1007/11599128_8},
Editor = {Merelli, Emanuela and Gonz{\'a}lez Perez, Pablo Pedro and Omicini, Andrea},
Isbn = {978-3-540-30883-6},
Isbn-10 = {3-540-30883-0},
Issn = {0302-9743},
Issn-Online = {1611-3349},
Month = dec,
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},
Pages = {105--122},
Publisher = {Springer},
ScopusId = {2-s2.0-34249977077},
Series = {Lecture Notes in Computer Science},
Subseries = {Lecture Notes in Bioinformatics},
Title = {An Agent-Oriented Conceptual Framework for {S}ystems {B}iology},
Url = {http://link.springer.com/10.1007/11599128_8},
Volume = 3737,
WosId = {000234830000008},
Year = 2005

Pubblicazione

— autori/autrici

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

— a cura di

Emanuela Merelli, Pablo Pedro Gonzàlez Perez, Andrea Omicini

— stato

pubblicato

— tipo

articolo in atti

Sede di pubblicazione

— volume

Transactions on Computational Systems Biology III

— collana

Lecture Notes in Computer Science

— volume

3737

— pagine

105-122

— data di pubblicazione

dicembre 2005

URL

pagina originale

Identificatori

— DOI

10.1007/11599128_8

— 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

BibTeX

— BibTeX ID
bio-tcsbIII
— BibTeX category
incollection

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