The living cell as a multi-agent organisation: A compositional organisation model of intracellular dynamics
Date
2010
Authors
Jonker C.M.
Snoep J.L.
Treur J.
Westerhoff H.V.
Wijngaards W.C.A.
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Within the areas of Computational Organisation Theory and Artificial Intelligence, techniques have been developed to simulate and analyse dynamics within organisations in society. Usually these modelling techniques are applied to factories and to the internal organisation of their process flows, thus obtaining models of complex organisations at various levels of aggregation. The dynamics in living cells are often interpreted in terms of well-organised processes, a bacterium being considered a (micro)factory. This suggests that organisation modelling techniques may also benefit their analysis. Using the example of Escherichia coli it is shown how indeed agent-based organisational modelling techniques can be used to simulate and analyse E.coli's intracellular dynamics. Exploiting the abstraction levels entailed by this perspective, a concise model is obtained that is readily simulated and analysed at the various levels of aggregation, yet shows the cell's essential dynamic patterns. © 2010 Springer-Verlag Berlin Heidelberg.
Description
Keywords
Abstraction level, Agent based, Concise model, Essential dynamics, intracellular, Intracellular dynamics, Living cell, Modelling techniques, Modular control, Multi-Agent, Organisational modeling, Organisational modelling, Process flows, Regulation and control, Computation theory, Computer simulation, Escherichia coli, Industrial plants, Multi agent systems, Semantic Web, Dynamics
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
6220 LNCS
6220 LNCS