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Title:
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BIOLOGICAL COMPLEXITY IN THE AGENT WORLD |
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Author(s):
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Sathish Periyasamy , Peter Kille , Alex Gray |
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ISBN:
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978-972-8924-56-0 |
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Editors:
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Nuno Guimarães and Pedro Isaías |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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Artificial Life, Swarm Intelligence, Collective Intelligence, Systems Biology, Cell Simulation, Biological Complexity. |
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Type:
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Full Paper |
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First Page:
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171 |
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Last Page:
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178 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Agent-based modeling and simulation (ABMS) are widely used to model complex systems in areas such as sociology,
business, economics and ecology. In contrast, the use of ABMS to model biological complexity that range in scale from
molecules to organisms is still in its infancy. Complex systems emerge due to local interactions between its simple
entities and their environment. Modeling biological entities and their interactions provides significant challenges
associated with multi-scaled spatial and temporal nature of the systems involved. We propose a novel prototype cell
model implemented using the principles of Swarm/Collective Intelligence. This paper first describes the functional and
non-functional requirements to implement SwarmCell - an Agent Based Cell Modeling and Simulation (ABCMS)
environment that can be used to model and simulate local interactions between bio-molecules and their environment to
predict higher level emergent structures. The paper then describes the design and the progress made in implementing the
ABCMS using Repast Simphony - a general purpose ABMS environment, to represent biological complexity from
molecules to cells. |
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