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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. 107-121Publication type
Article in monograph or in proceedings

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Editor(s)
Armano, G.
Merelli, E.
Denzinger, J.
Martin, A.
Miles, S.
Tianfield, H.
Unland, R.
Organization
SW OZ DCC AI
Former Organization
SW OZ NICI KI
Languages used
English (eng)
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
Subject
Cognitive artificial intelligenceAbstract
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.
This item appears in the following Collection(s)
- Academic publications [227437]
- Electronic publications [107154]
- Faculty of Social Sciences [28417]
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