Agents & Artifacts for Systems Biology: Toward a Framework based on TuCSoN


Sara Montagna, Alessandro Ricci, Andrea Omicini

Alessandro Genco, Antonio Gentile, Salvatore Sorce (eds.)
Industrial Simulation Conference 2006 (ISC 2006), pages 25-32
5-7 June 2006

Multiagent systems (MASs) are seemingly a promising way to model and simulate biological systems and networks, going toward a system-level understanding of such complex systems, as promoted by Systems Biology. In this paper we propose an agent-based framework based on the notion of agents and artifacts, implemented on top of the TuCSoN agent coordination model and infrastructure. The approach promotes the engineering of distributed simulations, where biological networks are modelled as multiagent systems. There, agents — representing active biological components such as proteins and enzymes — interact by means of tuple centres — representing the environment that enables and mediates the interaction of such components.

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Publication

— authors

— editors

Alessandro Genco, Antonio Gentile, Salvatore Sorce

— status

published

— sort

paper in proceedings

— publication date

5-7 June 2006

— volume

Industrial Simulation Conference 2006 (ISC 2006)

— pages

25-32

— address

Palermo, Italy

identifiers

— IRIS

11585/27872

— Scopus

2-s2.0-84898461989

— WoS / ISI

000245531000004

— print ISBN

90-77381-26-0

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