A&A for modelling and engineering simulations in Systems Biology

  • Authors:
  • Sara Montagna;Alessandro Ricci;Andrea Omicini

  • Affiliations:
  • Alma Mater Studiorum Universita di Bologna, via Venezia 52, 47023, Cesena, Italy.;Alma Mater Studiorum Universita di Bologna, via Venezia 52, 47023, Cesena, Italy.;Alma Mater Studiorum Universita di Bologna, via Venezia 52, 47023, Cesena, Italy

  • Venue:
  • International Journal of Agent-Oriented Software Engineering
  • Year:
  • 2008

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Abstract

Systems Biology (SB) promotes a system-level understanding ofbiological systems, and requires modelling and simulation tools foranalysing biological systems dynamics. The articulation ofMultiagent Systems (MASs) in terms of multiple, distributed andautonomous computational entities makes MAS a seemingly fitparadigm in SB. In this paper we adopt the Agents and Artefacts(A&A) metamodel where the notions of agent, artefact andworkspace are taken as the basic bricks for MASs as the ontologicalfoundation for our Multiagent-based Simulation (MABS) framework,and discuss how this impacts on SB. After recasting the A&Aabstractions within the domain and design models, we specialiseA&A within the SB context, and show an operational model basedon the TuCSoN agent coordination infrastructure, upon which oursimulation framework is implemented. As a case study, we model thewell-studied metabolic pathway of glycolysis, and present someresults of the simulation.