The role of model integration in complex systems modelling :
General Material Designation
[Book]
Other Title Information
an example from cancer biology /
First Statement of Responsibility
Manish Patel, Sylvia Nagl.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
London :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
2010.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (x, 168 pages) :
Other Physical Details
illustrations
SERIES
Series Title
Understanding complex systems
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references (pages 153-163) and index.
CONTENTS NOTE
Text of Note
Nature to numbers: complex systems modelling of cancer -- Coping with complexity: modelling of complex systems -- Novel strategies for integrating models into systems-level simulations -- Experiments in model integration.
0
SUMMARY OR ABSTRACT
Text of Note
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.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Springer
Stock Number
978-3-642-15602-1
OTHER EDITION IN ANOTHER MEDIUM
Title
Role of model integration in complex systems modelling.