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Title: Modelling the Dynamics of Intracellular Processes as an Organisation of Multiple Agents
Author(s): Bosse, T. ; Jonker, C.M. ; Treur, J.
Publication year: 2005
In: Armano, G.; Merelli, E.; Denzinger, J. (ed.), Proceedings of the First International Workshop on Multi-Agent Systems for Medicine, Computational Biology, and Bioinformatics, MAS*BIOMED'05, pp. 107-121
Publisher: [S.l. : s.n.]
Publication type: Article in monograph or in proceedings

Please use this identifier to cite or link to this item : https://hdl.handle.net/2066/55535   https://hdl.handle.net/2066/55535

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Editor(s): Armano, G.; Merelli, E.; Denzinger, J.; Martin, A.; Miles, S.; Tianfield, H.; Unland, R.
Subject: Cognitive artificial intelligence
Organization: SW OZ DCC KI
Former Organization: SW OZ NICI KI
Book title: Armano, G.; Merelli, E.; Denzinger, J. (ed.), Proceedings of the First International Workshop on Multi-Agent Systems for Medicine, Computational Biology, and Bioinformatics, MAS*BIOMED'05
Page start: p. 107
Page end: p. 121
Abstract:
This paper explores how the dynamics of complex biological processes can be modeled as an organisation of multiple agents. This modelling perspective identifies organisational structure occurring in complex decentralised processes and handles complexity of the analysis of the dynamics by structuring these dynamics according to an organisational structure. More specifically, dynamic properties at different levels of aggregation in the organisational structure are identified, and related to each other according to the organisational structure. The applicability of this organisational modelling approach to address complexity in biological context is illustrated by a case study: the organisation of intracellular processes.

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