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Title: Organisation modelling for the dynamics of complex biological processes
Author(s): Bosse, T. ; Jonker, C.M. ; Treur, J.
Publication year: 2004
In: Lindemann, G.; Moldt, D.; Paolucci, M. (ed.), Regulated Agent-Based Social Systems, First International Workshop, RASTA 2002, pp. 92-112
Publisher: Berlin ; New York : Springer
Annotation: First International Workshop, RASTA 2002
Publication type: Article in monograph or in proceedings

Please use this identifier to cite or link to this item : https://hdl.handle.net/2066/63901   https://hdl.handle.net/2066/63901

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Editor(s): Lindemann, G.; Moldt, D.; Paolucci, M.
Subject: Cognitive artificial intelligence
Organization: SW OZ DCC KI
Former Organization: SW OZ NICI KI
Book title: Lindemann, G.; Moldt, D.; Paolucci, M. (ed.), Regulated Agent-Based Social Systems, First International Workshop, RASTA 2002
Page start: p. 92
Page end: p. 112
Abstract:
This paper shows how an organisation modelling approach can be used to model the dynamics of biological organisation, in particular the circulatory system in biological organisms (mammals). This system consists of a number of components that are connected and grouped together. Dynamic properties at different levels of aggregation of this organisation model have been identified, and interlevel relationships between these dynamic properties at different aggregation levels were made explicit. Based on the executable properties simulation has been performed and properties have been checked for the produced simulation traces. Thus the logical relationships between properties at different aggregation levels have been verified. Moreover, relationships between roles within the organisation model and realisers of these roles have been defined. This case study shows that within biological and medical domains organisation modelling techniques can play a useful role in modelling complex systems at a high level of abstraction.
Languages used: English (eng)

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