The Role of Model Integration in Complex Systems Modelling
An Example from Cancer Biology
(Sprache: Englisch)
With no similar books on the market, this volume is a welcome addition. Many current methods use 'shallow integration' that employ output-input linking. This book goes further, setting out a systems biology and tumour modeling method called 'deep integration'.
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With no similar books on the market, this volume is a welcome addition. Many current methods use 'shallow integration' that employ output-input linking. This book goes further, setting out a systems biology and tumour modeling method called 'deep integration'.
Klappentext zu „The Role of Model Integration in Complex Systems Modelling “
Model integration - the process by which different modelling efforts can be brought together to simulate the target system - is a core technology in the field of Systems Biology. In the work presented here model integration was addressed directly taking cancer systems as an example. An in-depth literature review was carried out to survey the model forms and types currently being utilised. This was used to formalise the main challenges that model integration poses, namely that of paradigm (the formalism on which a model is based), focus (the real-world system the model represents) and scale.A two-tier model integration strategy, including a knowledge-driven approach to address model semantics, was developed to tackle these challenges. In the first step a novel description of models at the level of behaviour, rather than the precise mathematical or computational basis of the model, is developed by distilling a set of abstract classes and properties. These can accurately describe model behaviour and hence describe focus in a way that can be integrated with behavioural descriptions of other models. In the second step this behaviour is decomposed into an agent-based system by translating the models into local interaction rules.The book provides a detailed and highly integrated presentation of the method, encompassing both its novel theoretical and practical aspects, which will enable the reader to practically apply it to their model integration needs in academic research and professional settings. The text is self-supporting. It also includes an in-depth current bibliography to relevant research papers and literature. The review of the current state of the art in tumour modelling provides added value.
Inhaltsverzeichnis zu „The Role of Model Integration in Complex Systems Modelling “
Nature to Numbers: Complex Systems Modelling of Cancer.- Coping with Complexity: Modelling of Complex Systems.- Complexity and Model Integration: Formalisations.- Novel Strategies for Integrating Models into Systems-Level Simulations.- Experiments in Model Integration.- Discussion.
Bibliographische Angaben
- Autoren: Sylvia Nagl , Manish Patel
- 2010, 180 Seiten, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Herausgegeben: Sylvia Nagl
- Verlag: Springer Berlin Heidelberg
- ISBN-10: 3642156029
- ISBN-13: 9783642156021
- Erscheinungsdatum: 08.09.2010
Sprache:
Englisch
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